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ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 7 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
MM
2006
ACM
218views Multimedia» more  MM 2006»
14 years 1 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
LCTRTS
2004
Springer
14 years 25 days ago
A trace-based binary compilation framework for energy-aware computing
Energy-aware compilers are becoming increasingly important for embedded systems due to the need to meet conflicting constraints on time, code size and power consumption. We intro...
Lian Li 0002, Jingling Xue
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
14 years 1 months ago
Scalable Cache Miss Handling for High Memory-Level Parallelism
Recently-proposed processor microarchitectures for high Memory Level Parallelism (MLP) promise substantial performance gains. Unfortunately, current cache hierarchies have Miss-Ha...
James Tuck, Luis Ceze, Josep Torrellas