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IDA
2009
Springer
15 years 1 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
122
Voted
RECOMB
2002
Springer
16 years 4 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
178
Voted
JPDC
2006
187views more  JPDC 2006»
15 years 3 months ago
Maximum lifetime data sensing and extraction in energy constrained networked sensor systems
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...
Bo Hong, Viktor K. Prasanna
142
Voted
DAC
2004
ACM
16 years 4 months ago
ORACLE: optimization with recourse of analog circuits including layout extraction
Long design cycles due to the inability to predict silicon realities is a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens...
Yang Xu, Lawrence T. Pileggi, Stephen P. Boyd
175
Voted
IJCV
2010
158views more  IJCV 2010»
15 years 2 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre