Concept
Oxford English Dictionary
Publications associées (42)
Concept Discovery for The Interpretation of Landscape Scenicness
In this paper, we study how to extract visual concepts to understand landscape scenicness. Using visual feature representations from a Convolutional Neural Network (CNN), we learn a number of Concept Activation Vectors (CAV) aligned with semantic concepts ...
2020Kamusi Pre:D – Lexicon-based source-side predisambiguation for MT and other text processing applications
Kamusi has been developing a system to analyze texts on the source side and present users with sense-specified dictionary options. Similarly to spellcheck, the user selects the intended meaning. We then use a multilingual lexical database to bridge to matc ...
ENeL2016Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features
Hervé Bourlard, Afsaneh Asaei, Pranay Dighe
Statistical speech recognition has been cast as a natural realization of the compressive sensing and sparse recovery. The compressed acoustic observations are sub-word posterior probabilities obtained from a deep neural network (DNN). Dictionary learning a ...
2015Parametric dictionary learning for graph signals
We propose a parametric dictionary learning algorithm to design structured dictionaries that sparsely represent graph signals. We incorporate the graph structure by forcing the learned dictionaries to be concatenations of subdictionaries that are polynomia ...
2013Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding
Pascal Frossard, Pierre Vandergheynst, Adel Rahmoune
This paper introduces a novel algorithm for sparse approximation in redundant dictionaries called the M-term pursuit (MTP). This algorithm decomposes a signal into a linear combination of atoms that are selected in order to represent the main signal compon ...
Institute of Electrical and Electronics Engineers2012Use of Learned Dictionaries in Tomographic Reconstruction
Martin Vetterli, Ivana Jovanovic, Vincent Etter
We study the use and impact of a dictionary in a tomographic reconstruction setup. First, we build two different dictionaries: one using a set of bases functions (Discrete Cosine Transform), and the other that is learned using patches extracted from traini ...
Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011