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» Classifier Selection Based on Data Complexity Measures
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130
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DAC
2009
ACM
15 years 11 months ago
Spectral techniques for high-resolution thermal characterization with limited sensor data
Elevated chip temperatures are true limiters to the scalability of computing systems. Excessive runtime thermal variations compromise the performance and reliability of integrated...
Ryan Cochran, Sherief Reda
98
Voted
ACCV
2010
Springer
14 years 5 months ago
Randomised Manifold Forests for Principal Angle-Based Face Recognition
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
Ujwal D. Bonde, Tae-Kyun Kim, K. R. Ramakrishnan
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 5 months ago
Multi-skill Collaborative Teams based on Densest Subgraphs
We consider the problem of identifying a team of skilled individuals for collaboration, in the presence of a social network. Each node in the input social network may be an expert...
Amita Gajewar, Atish Das Sarma
87
Voted
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 10 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
87
Voted
NIPS
2007
14 years 11 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...