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» Automated Reasoning on Feature Models
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AVSS
2007
IEEE
15 years 10 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
125
Voted
ISVC
2009
Springer
15 years 10 months ago
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...
Mustafa Berkay Yilmaz, Hakan Erdogan, Mustafa Unel
123
Voted
RR
2007
Springer
15 years 10 months ago
Proof Explanation in the DR-DEVICE System
Trust is a vital feature for the Semantic Web: If users (humans and agents) are to use and integrate system answers, they must trust them. Thus, systems should be able to explain t...
Nick Bassiliades, Grigoris Antoniou, Guido Governa...
113
Voted
IUI
2000
ACM
15 years 8 months ago
Adaptation in automated user-interface design
Design problems involve issues of stylistic preference and flexible standards of success; human designers often proceed by intuition and are unaware of following any strict rule-b...
Jacob Eisenstein, Angel R. Puerta
122
Voted
GIS
2010
ACM
15 years 2 months ago
Bridge detection in grid terrains and improved drainage enforcement
Bare Earth gridded digital elevation models (DEMs) are often used to extract hydrologic features such as rivers and watersheds. DEMs must be conditioned by removing spurious sinks...
Ryan Carlson, Andrew Danner