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CVPR
2009
IEEE
16 years 4 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 ...
MTV
2005
IEEE
81views Hardware» more  MTV 2005»
15 years 3 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 4 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 9 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»
14 years 11 months 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