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» Learning Visual Invariance
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NIPS
1994
13 years 11 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 8 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
14 years 2 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
CVPR
2010
IEEE
14 years 6 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
VMCAI
2010
Springer
14 years 4 months ago
Deriving Invariants by Algorithmic Learning, Decision Procedures, and Predicate Abstraction
Yungbum Jung, Soonho Kong, Bow-Yaw Wang, Kwangkeun...