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» Agent-Enriched Data Mining Using an Extendable Framework
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ICASSP
2011
IEEE
14 years 1 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
ICRA
2008
IEEE
127views Robotics» more  ICRA 2008»
15 years 4 months ago
New framework for Simultaneous Localization and Mapping: Multi map SLAM
—The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Si...
Damith Chandana Herath, Sarath Kodagoda, Gamini Di...
ICCV
2007
IEEE
15 years 11 months ago
A Homographic Framework for the Fusion of Multi-view Silhouettes
This paper presents a purely image-based approach to fusing foreground silhouette information from multiple arbitrary views. Our approach does not require 3D constructs like camer...
Saad M. Khan, Pingkun Yan, Mubarak Shah
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
15 years 7 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
15 years 10 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana