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ICCV
2007
IEEE
16 years 2 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 1 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
SI3D
2010
ACM
15 years 6 months ago
LEAN mapping
We introduce Linear Efficient Antialiased Normal (LEAN) Mapping, a method for real-time filtering of specular highlights in bump and normal maps. The method evaluates bumps as p...
Marc Olano, Dan Baker
VLDB
2001
ACM
94views Database» more  VLDB 2001»
15 years 5 months ago
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
In recent years, several methods have been proposed for implementing interactive similarity queries on multimedia databases. Common to all these methods is the idea to exploit use...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
NIPS
1996
15 years 2 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies