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» Evaluating algorithms that learn from data streams
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FLAIRS
2010
15 years 9 months ago
Learning to Identify and Track Imaginary Objects Implied by Gestures
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
ICDE
2007
IEEE
169views Database» more  ICDE 2007»
16 years 27 days ago
Mining Personally Important Places from GPS Tracks
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, L...
ICDE
2005
IEEE
149views Database» more  ICDE 2005»
16 years 8 months ago
Change Tolerant Indexing for Constantly Evolving Data
Index structures are designed to optimize search performance, while at the same time supporting efficient data updates. Although not explicit, existing index structures are typica...
Reynold Cheng, Yuni Xia, Sunil Prabhakar, Rahul Sh...
GOSLER
1995
15 years 10 months ago
A Guided Tour Across the Boundaries of Learning Recursive Languages
The present paper deals with the learnability of indexed families of uniformly recursive languages from positive data as well as from both, positive and negative data. We consider...
Thomas Zeugmann, Steffen Lange
CVPR
2005
IEEE
16 years 8 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade