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11/16/2020
Mixing ADAM and SGD: a Combined Optimization Method
Optimization methods (optimizers) get special attention for the efficien...
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09/18/2020
σ^2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions
In neural networks, the loss function represents the core of the learnin...
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05/18/2020
Learn Class Hierarchy using Convolutional Neural Networks
A large amount of research on Convolutional Neural Networks has focused ...
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05/01/2020
Can a powerful neural network be a teacher for a weaker neural network?
The transfer learning technique is widely used to learning in one contex...
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04/28/2020
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Recent years have seen a surge in finding association between faces and ...
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04/05/2020
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data
A typical issue in Pattern Recognition is the non-uniformly sampled data...
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03/30/2020
OCmst: One-class Novelty Detection using Convolutional Neural Network and Minimum Spanning Trees
We present a novel model called One Class Minimum Spanning Tree (OCmst) ...
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09/18/2019
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals
We propose a novel deep training algorithm for joint representation of a...
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09/09/2019
A Classification Methodology based on Subspace Graphs Learning
In this paper, we propose a design methodology for one-class classifiers...
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09/09/2019
Picture What you Read
Visualization refers to our ability to create an image in our head based...
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09/03/2019
Do Cross Modal Systems Leverage Semantic Relationships?
Current cross-modal retrieval systems are evaluated using R@K measure wh...
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06/14/2019
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees
One-class classifiers are trained with target class only samples. Intuit...
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04/02/2019
Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition
With massive explosion of social media such as Twitter and Instagram, pe...
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10/16/2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Majority of the current dimensionality reduction or retrieval techniques...
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10/03/2018
Image and Encoded Text Fusion for Multi-Modal Classification
Multi-modal approaches employ data from multiple input streams such as t...
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08/31/2018
Seeing Colors: Learning Semantic Text Encoding for Classification
The question we answer with this work is: can we convert a text document...
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07/23/2018
Git Loss for Deep Face Recognition
Convolutional Neural Networks (CNNs) have been widely used in computer v...
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07/19/2018
Revisiting Cross Modal Retrieval
This paper proposes a cross-modal retrieval system that leverages on ima...
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11/07/2017