Concept
Oxford English Dictionary
Related publications (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 ...
2015Transformation-Invariant Dictionary Learning for Classification with 1-Sparse Representations
Pascal Frossard, Elif Vural, Ahmet Caner Yüzügüler
Sparse representations of images in well-designed dictionaries can be used for effective classification. Meanwhile, training data available in most realistic settings are likely to be exposed to geometric transformations, which poses a challenge for the de ...
2014A convex optimization framework for global tractography
Jean-Philippe Thiran, Alessandro Daducci, Alia Lemkaddem
In this article we present a novel approach for diffusion MRI global tractography. Our formulation models the signal in each voxel as a linear combination of fiber-tract basis func- tions, which consist of a comprehensive set of plausible fiber tracts that ...
2013