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» Methods to Learn Abstract Scheduling Models
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ISVC
2009
Springer
14 years 3 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
ECCV
2008
Springer
14 years 10 months ago
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
ICNP
2006
IEEE
14 years 2 months ago
O-MAC: A Receiver Centric Power Management Protocol
— Energy efficiency is widely understood to be one of the dominant considerations for Wireless Sensor Networks. Based on historical data and technology trends, the receiver ener...
Hui Cao, Ken Parker, Anish Arora
RECOMB
2007
Springer
14 years 9 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
SEKE
1993
Springer
14 years 24 days ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...