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JMLR
2012
13 years 8 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
TOG
2012
215views Communications» more  TOG 2012»
13 years 8 months ago
Videoscapes: exploring sparse, unstructured video collections
The abundance of mobile devices and digital cameras with video capture makes it easy to obtain large collections of video clips that contain the same location, environment, or eve...
James Tompkin, Kwang In Kim, Jan Kautz, Christian ...
NAR
2011
216views Computer Vision» more  NAR 2011»
14 years 9 months ago
dbDNV: a resource of duplicated gene nucleotide variants in human genome
Gene duplications are scattered widely throughout the human genome. A single-base difference located in nearly identical duplicated segments may be misjudged as a single nucleotid...
Meng-Ru Ho, Kuo-Wang Tsai, Chun-houh Chen, Wen-cha...
CVPR
2008
IEEE
16 years 8 months ago
Enhanced biologically inspired model
It has been demonstrated by Serre et al. that the biologically inspired model (BIM) is effective for object recognition. It outperforms many state-of-the-art methods in challengin...
Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dach...
ECCV
2008
Springer
16 years 8 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...