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» Unsupervised Feature Selection Using Feature Similarity
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ICIP
2003
IEEE
15 years 17 hour ago
Optimal Gabor kernel location selection for face recognition
In local feature?based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition acc...
Berk Gökberk, Ethem Alpaydin, Lale Akarun, M....
ICIP
2002
IEEE
15 years 11 hour ago
Video object articulation using depth-based content segmentation approaches
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
EMNLP
2011
12 years 10 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
WCRE
2006
IEEE
14 years 4 months ago
On Computing the Canonical Features of Software Systems
Software applications typically have many features that vary in their similarity. We define a measurement of similarity between pairs of features based on their underlying implem...
Jay Kothari, Trip Denton, Spiros Mancoridis, Ali S...
ACL
1998
13 years 11 months ago
Feature Lattices for Maximum Entropy Modelling
Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. T...
Andrei Mikheev