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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 10 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
CVPR
2010
IEEE
16 years 2 months ago
Personalization of Image Enhancement
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Sing Bing Kang, Ashish Kapoor, Dani Lischinski
ECML
2007
Springer
16 years 18 days ago
Neighborhood-Based Local Sensitivity
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
Paul N. Bennett
AUIC
2004
IEEE
15 years 10 months ago
A Knowledge Management Approach to User Support
This paper considers the problem of computer user support and workplace learning in general. Theoretically our work is influenced by ideas on knowledge management, expertise netwo...
R. T. Jim Eales
CONNECTION
2006
172views more  CONNECTION 2006»
15 years 6 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter