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AR
2011
15 years 1 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
ICASSP
2011
IEEE
14 years 10 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
ICIAP
2001
Springer
16 years 7 months ago
Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
Sergiu Nedevschi, Tiberiu Marita, Daniela Puiu
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
16 years 3 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
ICASSP
2010
IEEE
15 years 7 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör