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CORR
2010
Springer
275views Education» more  CORR 2010»
14 years 9 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
PERCOM
2007
ACM
15 years 9 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
GLVLSI
2007
IEEE
166views VLSI» more  GLVLSI 2007»
15 years 1 months ago
Efficient pipelining for modular multiplication architectures in prime fields
This paper presents a pipelined architecture of a modular Montgomery multiplier, which is suitable to be used in public key coprocessors. Starting from a baseline implementation o...
Nele Mentens, Kazuo Sakiyama, Bart Preneel, Ingrid...
PLDI
1995
ACM
15 years 27 days ago
APT: A Data Structure for Optimal Control Dependence Computation
The control dependence relation is used extensively in restructuring compilers. This relation is usually represented using the control dependence graph; unfortunately, the size of...
Keshav Pingali, Gianfranco Bilardi
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
14 years 11 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...