Index for capu

Capua, R.O.[Renatha Oliva] Co Author Listing * Bayesian Detection of Coding Regions in DNA/RNA Sequences Through Event Factoring

Capuano, E.[Ermanno] Co Author Listing * Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA

Capuni, I.[Ilir] Co Author Listing * Police-less multi-party traffic violation detection and reporting system with privacy preservation
Includes: Capuni, I.[Ilir] Çapuni, I.[Ilir]

Capurro, C. Co Author Listing * Dynamic Vergence Using Log-Polar Images
* Vergence and Tracking Fusing Log-Polar Images

Capus, C. Co Author Listing * Fractional Fourier transform of the Gaussian and fractional domain signal support
* Fusion of Large Scale Classified Side-Scan Sonar Image Mosaics, The

Caputo, B.[Barbara] Co Author Listing * Home Page.
* email: Caputo, B.[Barbara]:
* AutoDIAL: Automatic Domain Alignment Layers
* Best Sources Forward: Domain Generalization through Source-Specific Nets
* Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer
* Boosting Domain Adaptation by Discovering Latent Domains
* Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition
* Class Specific Object Recognition using Kernel Gibbs Distributions
* Class-Specific Material Categorisation
* Classifying materials in the real world
* Cue integration through discriminative accumulation
* Deep Depth Domain Adaptation: A Case Study
* Deeper Look at Dataset Bias, A
* Digital Mammography: Gabor Filter for Detection of Microcalcifications
* Discriminative cue integration for medical image annotation
* From Markov Random Fields to Associative Memories and Back: Spin Glass Markov Random Fields
* From N to N+1: Multiclass Transfer Incremental Learning
* From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN
* Frustratingly Easy NBNN Domain Adaptation
* ImageCLEF: Experimental Evaluation in Visual Information Retrieval
* In Defense of Exact Matching for Object Recognition
* Indoor Place Recognition using Online Independent Support Vector Machines
* Indoor Scene Recognition using Task and Saliency-driven Feature Pooling
* Integrating Representative and Discriminative Models for Object Category Detection
* Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation
* Large-Scale Database of Images and Captions for Automatic Face Naming, A
* Learning Categories From Few Examples With Multi Model Knowledge Transfer
* Learning methods for melanoma recognition
* Learning the Roots of Visual Domain Shift
* Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective
* Leveraging over prior knowledge for online learning of visual categories
* Local velocity-adapted motion events for spatio-temporal recognition
* Looking beyond appearances: Synthetic training data for deep CNNs in re-identification
* Melanoma Recognition Using Representative and Discriminative Kernel Classifiers
* more you know, the less you learn: from knowledge transfer to one-shot learning of object categories, The
* more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition, The
* Multi-source Adaptive Learning for Fast Control of Prosthetics Hand
* Multiclass transfer learning from unconstrained priors
* Novel Probabilistic Model for 3-D Object Recognition: Spin-Glass Markov Random Fields, A
* Object categorization via local kernels
* Object Category Detection Using Audio-Visual Cues
* OM-2: An online multi-class Multi-Kernel Learning algorithm
* On the Importance of Domain Adaptation in Texture Classification
* On the Significance of Real-World Conditions for Material Classification
* On-line independent support vector machines
* Online Framework for Learning Novel Concepts over Multiple Cues, An
* Online-batch strongly convex Multi Kernel Learning
* Overview of the ImageCLEF@ICPR 2010 Robot Vision Track
* Recognition with local features: the kernel recipe
* Recognizing human actions: a local SVM approach
* Robust appearance-based object recognition using a fully connected Markov random field
* Safety in numbers: Learning categories from few examples with multi model knowledge transfer
* Scalable greedy algorithms for transfer learning
* Scene Recognition with Naive Bayes Non-linear Learning
* Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers
* spin glass model of a Markov random field, A
* To each according to its need: kernel class specific classifiers
* Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
* Towards Learning Free Naive Bayes Nearest Neighbor-Based Domain Adaptation
* Transfer Learning Through Greedy Subset Selection
* Transferring activities: Updating human behavior analysis
* When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks
Includes: Caputo, B.[Barbara] Caputo, B.
62 for Caputo, B.

Caputo, F.[Federico] Co Author Listing * From Integrated Survey to the Parametric Modeling of Degradations. A Feasible Workflow

Index for "c"

Last update: 2-Mar-19 17:57:17
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