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» Content Characterization Using Word Shape Tokens
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ICMI
2009
Springer
125views Biometrics» more  ICMI 2009»
15 years 4 months ago
Speaker change detection with privacy-preserving audio cues
In this paper we investigate a set of privacy-sensitive audio features for speaker change detection (SCD) in multiparty conversations. These features are based on three different...
Sree Hari Krishnan Parthasarathi, Mathew Magimai-D...
ICB
2007
Springer
239views Biometrics» more  ICB 2007»
15 years 3 months ago
Uniprojective Features for Gait Recognition
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this pa...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
IICAI
2007
14 years 11 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
PR
1998
92views more  PR 1998»
14 years 9 months ago
Assessing agreement between human and machine clusterings of image databases
There is currently much interest in the organization and content-based querying image databases. The usual hypothesis is that image similarity can be characterized evel features, ...
David McG. Squire, Thierry Pun
CAIP
2007
Springer
190views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Image Segmentation Based on Height Maps
Abstract. In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content...
Gabriele Peters, Jochen Kerdels