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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 27 days 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
ATAL
2006
Springer
15 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
CSL
2008
Springer
15 years 9 months ago
Pure Pointer Programs with Iteration
not use pointer arithmetic. Such "pure pointer algorithms" thus are a useful abstraction for studying the nature of logspace-computation. In this paper we introduce a for...
Martin Hofmann, Ulrich Schöpp
CVPR
2009
IEEE
17 years 2 months ago
Global Optimization for Alignment of Generalized Shapes
In this paper, we introduce a novel algorithm to solve global shape registration problems. We use gray-scale “images” to represent source shapes, and propose a novel twocompo...
Hongsheng Li (Lehigh University), Tian Shen (Lehig...
CVPR
2008
IEEE
16 years 9 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal