Index for laak

Laakom, F. * 2020: Bag of Color Features for Color Constancy
* 2020: Probabilistic Color Constancy
* 2024: Reducing redundancy in the bottleneck representation of autoencoders
Includes: Laakom, F. Laakom, F.[Firas]

Laakso, K. * 2016: Enhanced detection of gossans using hyperspectral data: Example from the Cape Smith Belt of northern Quebec, Canada
* 2020: Assessing the Operation Parameters of a Low-altitude UAV for the Collection of NDVI Values Over a Paddy Rice Field
* 2021: Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
* 2021: Cloud Cover throughout All the Paddy Rice Fields in Guangdong, China: Impacts on Sentinel 2 MSI and Landsat 8 OLI Optical Observations
* 2021: Evaluating the Farmland Use Intensity and Its Patterns in a Farming: Pastoral Ecotone of Northern China
* 2021: Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest's Successional Stages
* 2023: Characterizing Transitions between Successional Stages in a Tropical Dry Forest Using LiDAR Techniques
Includes: Laakso, K. Laakso, K.[Kati]
7 for Laakso, K.

Laakso, L.[Lauri] * 2023: Uto Observatory for Analysing Atmospheric Ducting Events over Baltic Coastal and Marine Waters

Laakso, M.[Mari] * 2016: Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
* 2016: Towards a Protocol for the Collection of VGI Vector Data

Laakso, S.[Sami] * 1999: PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps
* 2000: PicSOM: Content-Based Image Retrieval with Self-Organizing Maps
* 2001: Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval

Laaksonen, J.[Jorma] * 2012: Real-time large-scale visual concept detection with linear classifiers
* 2013: Detecting Hand-Head Occlusions in Sign Language Video
* 2013: Head Pose Estimation for Sign Language Video
* 2014: 2D Appearance Based Techniques for Tracking the Signer Configuration in Sign Language Video Recordings
* 2014: Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments
* 2014: Experiments on Recognising the Handshape in Blobs Extracted from Sign Language Videos
* 2015: Compact color-texture description for texture classification
* 2016: Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models
* 2016: Preliminary Studies on Personalized Preference Prediction from Gaze in Comparing Visualizations
* 2016: Towards gaze-based video annotation
* 2017: Fixation Prediction in Videos Using Unsupervised Hierarchical Features
* 2017: Paying Attention to Descriptions Generated by Image Captioning Models
* 2017: Saliency Revisited: Analysis of Mouse Movements Versus Fixations
* 2018: Image and Video Captioning with Augmented Neural Architectures
* 2019: Multi-stream Convolutional Networks for Indoor Scene Recognition
* 2020: Film Mood and Its Quantitative Determinants in Different Types of Scenes
* 2020: Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment
* 2022: DoodleFormer: Creative Sketch Drawing with Transformers
* 2022: Post-Attention Modulator for Dense Video Captioning
* 2023: Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision
* 2023: Person Image Synthesis via Denoising Diffusion Model
Includes: Laaksonen, J.[Jorma] Laaksonen, J.
21 for Laaksonen, J.

Laaksonen, J.T.[Jorma T.] * 1996: Neural Network and Statistical Perspectives of Classification
* 1997: Density Function Interpretation of Subspace Cassification Methods
* 1997: Neural and Statistical Classifiers: Taxonomy and Two Case-Studies
* 1998: Learning Subspace Classifiers and Error Corrective Feature Extraction
* 1999: PicSOM: A Framework for Content-Based Image Database Retrieval Using Self-Organizing Maps
* 2000: Controlling On-line Adaptation of a Prototype-based Classifier for Handwritten Characters
* 2000: PicSOM: Content-Based Image Retrieval with Self-Organizing Maps
* 2000: Statistical Shape Features in Content-based Image Retrieval
* 2001: Comparison of Techniques for Content-based Image Retrieval
* 2001: Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters
* 2001: Rejection methods for an adaptive committee classifier
* 2001: Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval
* 2001: Speeding up on-line recognition of handwritten characters by pruning the prototype set
* 2002: Class-confidence critic combining
* 2002: comparison of techniques for automatic clustering of handwritten characters, A
* 2002: Influence of erroneous learning samples on adaptation in on-line handwriting recognition
* 2002: Statistical Shape Features for Content-Based Image Retrieval
* 2002: Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
* 2003: Methods for adaptive combination of classifiers with application to recognition of handwritten characters
* 2003: Using Image Segments in PicSOM CBIR System
* 2004: Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval
* 2004: Task-Based User Evaluation of Content-Based Image Database Browsing Systems
* 2004: Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
* 2005: Approximated Classification in Interactive Facial Image Retrieval
* 2005: Optimal Ratio of Lamé Moduli with Application to Motion of Jupiter Storms
* 2005: Semantic Annotation of Image Groups with Self-organizing Maps
* 2006: Using diversity of errors for selecting members of a committee classifier
* 2007: Adaptive combination of adaptive classifiers for handwritten character recognition
* 2007: Detecting Man-Made Structures and Changes in Satellite Imagery With a Content-Based Information Retrieval System Built on Self-Organizing Maps
* 2007: Empirical Investigations on Benchmark Tasks for Automatic Image Annotation
* 2007: Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features
* 2007: How Marginal Likelihood Inference Unifies Entropy, Correlation and SNR-Based Stopping in Nonlinear Diffusion Scale-Spaces
* 2007: Regularized Neighborhood Component Analysis
* 2007: Video Segmentation and Shot Boundary Detection Using Self-Organizing Maps
* 2007: When is a Discrete Diffusion a Scale-Space?
* 2008: Experiments on Selection of Codebooks for Local Image Feature Histograms
* 2008: Techniques for Image Classification, Object Detection and Object Segmentation
* 2009: Combining Local Feature Histograms of Different Granularities
* 2009: Effect of Motion Blur and Signal Noise on Image Quality in Low Light Imaging, The
* 2009: Improving Automatic Video Retrieval with Semantic Concept Detection
* 2009: Informative Laplacian Projection
* 2009: Spatial extensions to bag of visual words
* 2010: PicSOM Experiments in ImageCLEF RobotVision
* 2014: Scale Coding Bag-of-Words for Action Recognition
* 2015: Deep Semantic Pyramids for Human Attributes and Action Recognition
* 2017: Top-Down Deep Appearance Attention for Action Recognition
* 2018: Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
* 2018: Scale coding bag of deep features for human attribute and action recognition
* 2019: Deep Contextual Attention for Human-Object Interaction Detection
* 2019: Multi-Task Bayesian Deep Neural Net for Detecting Life-Threatening Infant Incidents From Head Images, A
* 2023: Improved action proposals using fine-grained proposal features with recurrent attention models
Includes: Laaksonen, J.T.[Jorma T.] Laaksonen, J.T.
51 for Laaksonen, J.T.

Laaksonen, L.[Lauri] * 2011: Improving Particle Segmentation from Process Images with Wiener Filtering
* 2012: Conversational Evaluation of Speech Bandwidth Extension Using a Mobile Handset
* 2014: Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions
* 2016: Evaluation of feature sensitivity to training data inaccuracy in detection of retinal lesions
* 2016: Reconstruction of retinal spectra from RGB data using a RBF network
* 2020: Evaluation of Unconditioned Deep Generative Synthesis of Retinal Images
Includes: Laaksonen, L.[Lauri] Laaksonen, L.

Laaksonen, M.[Mika] * 2000: Skin Detection in Video Under Changing Illumination Conditions
* 2003: Adaptive skin color modeling using the skin locus for selecting training pixels

Index for "l"


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