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ICML
2009
IEEE
14 years 8 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ICML
2010
IEEE
13 years 8 months ago
Sequential Projection Learning for Hashing with Compact Codes
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
TIT
2011
121views more  TIT 2011»
13 years 2 months ago
Strongly Consistent Estimation of the Sample Distribution of Noisy Continuous-Parameter Fields
The general problem of defining and determining the sample distribution in the case of continuousparameter random fields, is addressed. Defining a distribution in the case of d...
Shahar Z. Kovalsky, Guy Cohen, Joseph M. Francos
CVPR
2008
IEEE
14 years 9 months ago
Dense 3D reconstruction from specularity consistency
In this work, we consider the dense reconstruction of specular objects. We propose the use of a specularity constraint, based on surface normal/depth consistency, to define a matc...
Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz