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» Patient Fall Detection using Support Vector Machines
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ACL
2004
13 years 9 months ago
Dependency Tree Kernels for Relation Extraction
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and clas...
Aron Culotta, Jeffrey S. Sorensen
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 6 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
ICMCS
2006
IEEE
162views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Automatic Addressee Identification Based on Participants' Head Orientation and Utterances for Multiparty Conversations
We propose a method that uses the participants’ head orientation and utterances for automatically identifying the addressee of each utterance in face-to-face multiparty conversa...
Yoshinao Takemae, Shinji Ozawa
ICMCS
2005
IEEE
161views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Gender identification using frontal facial images
Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender an...
Amit Jain, Jeffrey Huang, Shiaofen Fang
IJON
2006
87views more  IJON 2006»
13 years 7 months ago
Translation-invariant classification of non-stationary signals
Non-stationary signal classification is a complex problem. This problem becomes even more difficult if we add the following hypothesis: each signal includes a discriminant wavefor...
Vincent Guigue, Alain Rakotomamonjy, Stépha...