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SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 9 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
ICASSP
2008
IEEE
14 years 3 months ago
Adaptation of compressed HMM parameters for resource-constrained speech recognition
Recently, we successfully developed and reported a new unsupervised online adaptation technique, which jointly compensates for additive and convolutive distortions with vector Tay...
Jinyu Li, Li Deng, Dong Yu, Jian Wu, Yifan Gong, A...
FCCM
1998
IEEE
149views VLSI» more  FCCM 1998»
14 years 28 days ago
Configuration Compression for the Xilinx XC6200 FPGA
One of the major overheads in reconfigurable computing is the time it takes to reconfigure the devices in the system. This overhead limits the speedups possible in this exciting n...
Scott Hauck, Zhiyuan Li, Eric J. Schwabe
VVS
1995
IEEE
132views Visualization» more  VVS 1995»
14 years 6 days ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 3 months ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...