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ECCV
2008
Springer
16 years 4 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
WAPCV
2007
Springer
15 years 8 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
15 years 6 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
114
Voted
CVPR
2009
IEEE
16 years 9 months ago
Angular Embedding: from Jarring Intensity Differences to Perceived Luminance
Our goal is to turn an intensity image into its perceived luminance without parsing it into depths, surfaces, or scene illuminations. We start with jarring intensity differences at...
Stella X. Yu
202
Voted
CP
2009
Springer
16 years 3 months ago
Restricted Global Grammar Constraints
We investigate the global GRAMMAR constraint over restricted classes of context free grammars like deterministic and unambiguous context-free grammars. We show that detecting disen...
George Katsirelos, Sebastian Maneth, Nina Narodyts...