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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
15 years 11 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
15 years 6 months ago
Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
Weihua Li, Sirish L. Shah, Deyun Xiao
POPL
2008
ACM
16 years 6 months ago
Generating precise and concise procedure summaries
We present a framework for generating procedure summaries that are precise -- applying the summary in a given context yields the same result as re-analyzing the procedure in that ...
Greta Yorsh, Eran Yahav, Satish Chandra
NIPS
2008
15 years 7 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang