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ECCV
2010
Springer
14 years 10 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
CVPR
2010
IEEE
15 years 6 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
INFOCOM
2010
IEEE
14 years 8 months ago
Deploying Mesh Nodes under Non-Uniform Propagation
Abstract—Wireless mesh networks are popular as a costeffective means to provide broadband connectivity to large user populations. A mesh network placement provides coverage, such...
Joshua Robinson, Mohit Singh, Ram Swaminathan, Edw...
WSCG
2004
111views more  WSCG 2004»
14 years 11 months ago
Natural Lighting of Vegetation based on Polar Planes
We present a lighting method for outdoor scenes with vegetation. The method is compatible with multiresolution trees generated using random L-systems. We include a sky dome model ...
Maria J. Vicent, Javier Lluch, Roberto Vivó
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki