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» Invariant and Type Inference for Matrices
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3DIM
2011
IEEE
12 years 5 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
ESANN
2007
13 years 6 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ML
2006
ACM
121views Machine Learning» more  ML 2006»
13 years 5 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ESOP
2001
Springer
13 years 9 months ago
Typestate Checking of Machine Code
We check statically whether it is safe for untrusted foreign machine code to be loaded into a trusted host system. (Here “safety” means that the program abides by a memory-acc...
Zhichen Xu, Thomas W. Reps, Barton P. Miller
ICCV
2007
IEEE
14 years 7 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas