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SIGPRO
2010
135views more  SIGPRO 2010»
14 years 11 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
109
Voted
CIKM
2011
Springer
14 years 24 days ago
Factorization-based lossless compression of inverted indices
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
George Beskales, Marcus Fontoura, Maxim Gurevich, ...
131
Voted
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 29 days ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
84
Voted
DCC
2002
IEEE
16 years 12 days ago
Compression Techniques for Active Video Content
Conventional digital video playback systems provide only limited user interactivity, mostly in the form of VCRlike controls such as fast forward/backward, slow motion, pause/stop,...
Anindya Neogi, Tzi-cker Chiueh
97
Voted
ICASSP
2009
IEEE
15 years 7 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