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» Learning Visual Invariance
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NIPS
1994
15 years 3 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»
15 years 8 days 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
131
Voted
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 6 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...
119
Voted
CVPR
2010
IEEE
15 years 10 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
102
Voted
VMCAI
2010
Springer
15 years 8 months ago
Deriving Invariants by Algorithmic Learning, Decision Procedures, and Predicate Abstraction
Yungbum Jung, Soonho Kong, Bow-Yaw Wang, Kwangkeun...