There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can...
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challeng...
Diana Delibaltov, Pratim Ghosh, Michael Veeman, Wi...
We present a detailed study of network evolution by analyzing four large online social networks with full temporal information about node and edge arrivals. For the first time at ...
Jure Leskovec, Lars Backstrom, Ravi Kumar, Andrew ...
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...