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ICMLC
2005
Springer
15 years 6 months ago
Kernel-Based Metric Adaptation with Pairwise Constraints
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Hong Chang, Dit-Yan Yeung
108
Voted
ECCV
2008
Springer
16 years 2 months ago
Search Space Reduction for MRF Stereo
We present an algorithm to reduce per-pixel search ranges for Markov Random Fields-based stereo algorithms. Our algorithm is based on the intuitions that reliably matched pixels ne...
Liang Wang, Hailin Jin, Ruigang Yang
82
Voted
AAAI
2007
15 years 3 months ago
Actively Exploring Creation of Face Space(s) for Improved Face Recognition
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
Nitesh V. Chawla, Kevin W. Bowyer
91
Voted
ICPP
2000
IEEE
15 years 5 months ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
80
Voted
GRC
2009
IEEE
15 years 4 months ago
A step toward code granulation space
This paper proposes a code granulation space which can be applied to program construction and processing. Each granule in the space is defined as an improvement to the seed progra...
Yinliang Zhao