*PR(9)*
* Absence of perspective processing in the pigeon

* adaptive signal classification procedure. Application to aircraft engine condition monitoring, An

* Analysis of the Digitized Boundaries of Planar Objects

* automatic measurement device for the evaluation of the print quality of printed characters, An

* Camera Model for Natural Scene Processing, A

* class of error tolerant pattern discrimination functions, A

* Classification of characters by man and by machine

* comparison of selected pattern recognition functions, A

* Efficient decision tree design for discrete variable pattern recognition problems

* Error Measures for Scene Segmentation

* Finding the Rib Cage in Chest Radiographs

* Gravitational clustering

* Machine Recognition of Constrained Hand Printed Devanagari

* Metric invariants for unitary transformations and their application in character recognition

* mixed integer programming approach to multi-spectral image classification, A

* non-parametric clustering scheme for Landsat, A

* note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification, A

* Object recognition by grasping

* On a modified form of Parzen estimator for nonparametric pattern recognition

* On the Detection of Structures in Noisy Pictures

* On the estimation of probability of error

* Pattern discrimination using ellipsoidally symmetric multivariate density functions

* Processing Noisy Line Spectrograms as Digital Pictures

* Properties and convergence of a posteriori probabilities in classification problems

* real-time system for pattern recognition of human sleep stages by fuzzy system analysis, A

* syntactic procedure for the recognition of glottal pulses in continuous speech, A

* Using a Structured World Model in Flexible Recognition of Two Dimensional Patterns

27 for PR(9)

*PR(90)*
* ***Special issue commemorating the 50th anniversary of 'Pattern Recognition'**

* Binary sparse signal recovery algorithms based on logic observation

* Curved scene text detection via transverse and longitudinal sequence connection

* Deep metric learning via subtype fuzzy clustering

* Dense semantic embedding network for image captioning

* Depth-based subgraph convolutional auto-encoder for network representation learning

* DLFace: Deep local descriptor for cross-modality face recognition

* Domain learning joint with semantic adaptation for human action recognition

* Efficient conic fitting with an analytical Polar-N-Direction geometric distance

* Elastic nonnegative matrix factorization

* Feature-based groupwise registration of historical aerial images to present-day ortho-photo maps

* general tensor representation framework for cross-view gait recognition, A

* generalized multi-dictionary least squares framework regularized with multi-graph embeddings, A

* Graph edit distance: Restrictions to be a metric

* Grid-based DBSCAN: Indexing and inference

* Group preserving label embedding for multi-label classification

* Hyperspectral document image processing: Applications, challenges and future prospects

* Improved adaptive image retrieval with the use of shadowed sets

* Improving visual question answering using dropout and enhanced question encoder

* Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification

* Jointly discriminative projection and dictionary learning for domain adaptive collaborative representation-based classification

* labeled random finite set online multi-object tracker for video data, A

* Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification

* MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification

* MORAN: A Multi-Object Rectified Attention Network for scene text recognition

* Multi-atlas segmentation and correction model with level set formulation for 3D brain MR images

* Multi-label classification via label correlation and first order feature dependance in a data stream

* new design in iterative image deblurring for improved robustness and performance, A

* New graph distance for deformable 3D objects recognition based on triangle-stars decomposition

* Noisy multi-label semi-supervised dimensionality reduction

* novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis, A

* Optimal mathematical programming and variable neighborhood search for k-modes categorical data clustering

* Progressively diffused networks for semantic visual parsing

* random forests quantile classifier for class imbalanced data, A

* Robust fuzzy clustering for multiple instance regression

* SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions

* VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture

* Weakly-supervised object detection via mining pseudo ground truth bounding-boxes

* Weighted graph regularized sparse brain network construction for MCI identification

* Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

40 for PR(90)

*PR(91)*
* Agnostic attribute segmentation of dynamic scenes with limited spatio-temporal resolution

* Blind image quality assessment via learnable attention-based pooling

* Cancelable fingerprint template design with randomized non-negative least squares

* Constrained matrix factorization for semi-weakly learning with label proportions

* Deep convolutional network with locality and sparsity constraints for texture classification

* DeepOtsu: Document enhancement and binarization using iterative deep learning

* DELTA: A deep dual-stream network for multi-label image classification

* Dirichlet densifiers for improved commute times estimation

* Exploiting spatial relation for fine-grained image classification

* Fast and accurate computation of Racah moment invariants for image classification

* Fast semi-supervised discriminant analysis for binary classification of large data sets

* Filter-in-Filter: Low Cost CNN Improvement by Sub-filter Parameter Sharing

* gamma-signal-regulated connected components labeling algorithm, A

* Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer

* impact of class imbalance in classification performance metrics based on the binary confusion matrix, The

* Large-scale and rotation-invariant template matching using adaptive radial ring code histograms

* Learning Bayesian networks using the constrained maximum a posteriori probability method

* Learning multi-layer coarse-to-fine representations for large-scale image classification

* M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation

* Multi-layer discriminative dictionary learning with locality constraint for image classification

* multi-scale level set method based on local features for segmentation of images with intensity inhomogeneity, A

* multiscale bowler-hat transform for blood vessel enhancement in retinal images, The

* Nesting-structured nuclear norm minimization for spatially correlated matrix variate

* new sparse representation learning of complex data: Application to dynamic clustering of web navigation, A

* novel incremental one-class support vector machine based on low variance direction, A

* Order-aware convolutional pooling for video based action recognition

* Reduction in number of constraints in max-margin early event detectors

* Representation of online handwriting using multi-component sinusoidal model

* Sample size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space

* SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort

* Simultaneous feature selection and discretization based on mutual information

* Tractable learning of Bayesian networks from partially observed data

* Visual object tracking via a manifold regularized discriminative dual dictionary model

33 for PR(91)

*PR(92)*
* Color image segmentation based on multi-level Tsallis-Havrda-Charvát entropy and 2D histogram using PSO algorithms

* Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition

* Efficient 3D object recognition via geometric information preservation

* Ensemble clustering based on evidence extracted from the co-association matrix

* Feature-Guided Gaussian Mixture Model for Image Matching

* hybrid transfer learning algorithm incorporating TrSVM with GASEN, A

* Joint graph optimization and projection learning for dimensionality reduction

* Joint interaction with context operation for collaborative filtering

* Learning a robust representation via a deep network on symmetric positive definite manifolds

* Learning representations of sound using trainable COPE feature extractors

* Local discriminative based sparse subspace learning for feature selection

* Marginal distribution covariance model in the multiple wavelet domain for texture representation

* Multi-view common component discriminant analysis for cross-view classification

* Part-aligned pose-guided recurrent network for action recognition

* Real-Time monophonic and polyphonic audio classification from power spectra

* regional adaptive variational PDE model for computed tomography image reconstruction, A

* RNN based online handwritten word recognition in Devanagari and Bengali scripts using horizontal zoning

* Salient object detection employing a local tree-structured low-rank representation and foreground consistency

* Spatiotemporal distilled dense-connectivity network for video action recognition

* SQL: Superpixels via quaternary labeling

* Supervised learning based discrete hashing for image retrieval

* Synchronisation of partial multi-matchings via non-negative factorisations

22 for PR(92)

*PR(93)*
* Agglomerative oversegmentation using dual similarity and entropy rate

* comprehensive study on gait biometrics using a joint CNN-based method, A

* Correntropy based scale ICP algorithm for robust point set registration

* CycleMatch: A cycle-consistent embedding network for image-text matching

* Deep asymmetric video-based person re-identification

* Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering

* deep learning based unified framework to detect, segment and recognize irises using spatially corresponding features, A

* Deep-feature encoding-based discriminative model for age-invariant face recognition

* Detection of interacting groups based on geometric and social relations between individuals in an image

* Directional statistics-based deep metric learning for image classification and retrieval

* Distributed data clustering over networks

* Diverse image annotation with missing labels

* family of globally optimal branch-and-bound algorithms for 2D-3D correspondence-free registration, A

* Genetic programming for multiple-feature construction on high-dimensional classification

* Heritage image annotation via collective knowledge

* How much can k-means be improved by using better initialization and repeats?

* Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory

* Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection

* integrated inverse space sparse representation framework for tumor classification, An

* Joint graph based embedding and feature weighting for image classification

* Mining the displacement of max-pooling for text recognition

* Multi-manifold clustering: A graph-constrained deep nonparametric method

* Multi-resolution dictionary learning for face recognition

* Multi-view clustering via joint feature selection and partially constrained cluster label learning

* Multichannel dynamic modeling of non-Gaussian mixtures

* Multicomponent volume reconstruction from slice data using a modified multicomponent Cahn-Hilliard system

* Multiple particle tracking in time-lapse synchrotron X-ray images using discriminative appearance and neighbouring topology learning

* Nonnegative Laplacian embedding guided subspace learning for unsupervised feature selection

* novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria, A

* On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging

* One-pass person re-identification by sketch online discriminant analysis

* Out of vocabulary word detection and recovery in Arabic handwritten text recognition

* Recognizing online handwritten Chinese characters using RNNs with new computing architectures

* Reshaping inputs for convolutional neural network: Some common and uncommon methods

* Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection

* Robust license plate recognition using neural networks trained on synthetic images

* Robust Low-rank subspace segmentation with finite mixture noise

* Saliency-guided level set model for automatic object segmentation

* Scalable and compact 3D action recognition with approximated RBF kernel machines

* Statistical performance of convex low-rank and sparse tensor recovery

* Structured general and specific multi-view subspace clustering

* survey on 3D hand pose estimation: Cameras, methods, and datasets, A

* Three-dimensional Krawtchouk descriptors for protein local surface shape comparison

* Toward learning a unified many-to-many mapping for diverse image translation

* unified definition and computation of Laplacian spectral distances, A

* Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?

46 for PR(93)

*PR(94)*
* AlignedReID++: Dynamically matching local information for person re-identification

* Authentication of area fingerprint scanners

* Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks

* Consistency-Preserving deep hashing for fast person re-identification

* cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains, A

* Cross-domain network representations

* deep Coarse-to-Fine network for head pose estimation from synthetic data, A

* Detecting small faces in the wild based on generative adversarial network and contextual information

* DyClee: Dynamic clustering for tracking evolving environments

* Face hallucination from low quality images using definition-scalable inference

* High performance person re-identification via a boosting ranking ensemble

* Instance-aware representation learning and association for online multi-person tracking

* Making the dynamic time warping distance warping-invariant

* MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification

* Reinforced quasi-random forest

* RGB-D sensing based human action and interaction analysis: A survey

* Saliency for fine-grained object recognition in domains with scarce training data

* set of benchmarks for Handwritten Text Recognition on historical documents, A

* Text baseline detection, a single page trained system

* Towards fast and kernelized orthogonal discriminant analysis on person re-identification

20 for PR(94)

*PR(96)*
* Adaptation of person re-identification models for on-boarding new camera(s)

* AEM: Attentional Ensemble Model for personalized classifier weight learning

* Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition

* CutESC: Cutting edge spatial clustering technique based on proximity graphs

* Deep and Structured Metric Learning Method for Robust Person Re-Identification, A

* Deep compression of probabilistic graphical networks

* deep one-shot network for query-based logo retrieval, A

* Deep point-to-subspace metric learning for sketch-based 3D shape retrieval

* Deep transfer network for rotating machine fault analysis

* Dependence-biased clustering for variable selection with random forests

* Discriminative clustering using regularized subspace learning

* Document image binarization with cascaded generators of conditional generative adversarial networks

* Efficient deep learning of image denoising using patch complexity local divide and deep conquer

* Exploring uncertainty in pseudo-label guided unsupervised domain adaptation

* Extreme learning machines with expectation kernels

* GaitNet: An end-to-end network for gait based human identification

* global and local context integration DCNN for adult image classification, A

* Global-connected network with generalized ReLU activation

* Group morphology

* Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search

* Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks

* Improved localization accuracy by LocNet for Faster R-CNN based text detection in natural scene images

* Instance selection based on boosting for instance-based learners

* L1-norm-based kernel entropy components

* Language-aware weak supervision for salient object detection

* Learning representations of multivariate time series with missing data

* Non-rigid registration of serial section images by blending transforms for 3D reconstruction

* Novel event analysis for human-machine collaborative underwater exploration

* On Schatten-q quasi-norm induced matrix decomposition model for salient object detection

* Performance visualization spaces for classification with rejection option

* RGB-T object tracking: Benchmark and baseline

* Rotated cascade R-CNN: A shape robust detector with coordinate regression

* Scheduled sampling for one-shot learning via matching network

* SegLink++: Detecting Dense and Arbitrary-shaped Scene Text by Instance-aware Component Grouping

* self-adaptive local metric learning method for classification, A

* Sparse approximation to discriminant projection learning and application to image classification

* Sparse deep feature learning for facial expression recognition

* Stacked Fisher autoencoder for SAR change detection

* study of divisive clustering with Hausdorff distances for interval data, A

* Support vector machines resilient against training data integrity attacks

* Target recognition in SAR images via sparse representation in the frequency domain

* Using temporal information for recognizing actions from still images

* Video saliency detection by gestalt theory

43 for PR(96)

Last update: 1-Oct-19 16:28:13

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