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CVPR
2009
IEEE
16 years 6 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
102
Voted
MTV
2005
IEEE
81views Hardware» more  MTV 2005»
15 years 5 months ago
Search-Space Optimizations for High-Level ATPG
Our mutation based validation paradigm (MVP) is a validation environment for high-level microprocessor implementations. To be able to efficiently identify and analyze the architec...
Jorge Campos, Hussain Al-Asaad
KBSE
2008
IEEE
15 years 6 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov
BMCBI
2008
149views more  BMCBI 2008»
14 years 11 months ago
Clustering of cognate proteins among distinct proteomes derived from multiple links to a single seed sequence
Background: Modern proteomes evolved by modification of pre-existing ones. It is extremely important to comparative biology that related proteins be identified as members of the s...
Adriano Barbosa-Silva, Venkata P. Satagopam, Reinh...
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
15 years 29 days ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang