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ICASSP
2009
IEEE
16 years 1 months ago
Analyzing Least Squares and Kalman Filtered Compressed Sensing
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
Namrata Vaswani
ISRR
2005
Springer
111views Robotics» more  ISRR 2005»
16 years 7 days ago
Bias Reduction and Filter Convergence for Long Range Stereo
We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gau...
Gabe Sibley, Larry Matthies, Gaurav S. Sukhatme
CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
15 years 7 months ago
Context-dependent multi-class classification with unknown observation and class distributions with applications to bioinformatic
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Alex S. Baras, John S. Baras
ECCC
2007
62views more  ECCC 2007»
15 years 6 months ago
Space Hierarchy Results for Randomized and Other Semantic Models
We prove space hierarchy and separation results for randomized and other semantic models of computation with advice where a machine is only required to behave appropriately when g...
Jeff Kinne, Dieter van Melkebeek
ICASSP
2011
IEEE
14 years 10 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...