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129
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AAAI
2007
15 years 5 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati
ISVC
2010
Springer
15 years 1 months ago
Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework
Abstract. When using visualization techniques to explore data streams, an important task is to convey pattern changes. Challenges include: (1) Most data analysis tasks require user...
Zaixian Xie, Matthew O. Ward, Elke A. Rundensteine...
133
Voted
PUC
2010
122views more  PUC 2010»
15 years 1 months ago
What is happening now? Detection of activities of daily living from simple visual features
We propose and investigate a paradigm for activity recognition, distinguishing the ‘on-going activity’ recognition task (OGA) from that addressing ‘complete activities’ (C...
Bruno Lepri, Nadia Mana, Alessandro Cappelletti, F...
149
Voted
IJCV
2011
264views more  IJCV 2011»
14 years 10 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
SIGIR
2008
ACM
15 years 3 months ago
Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance
Modeling the beyond-topical aspects of relevance are currently gaining popularity in IR evaluation. For example, the discounted cumulated gain (DCG) measure implicitly models some...
Heikki Keskustalo, Kalervo Järvelin, Ari Pirk...