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» Object Recognition from Local Scale-Invariant Features
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MUE
2008
IEEE
89views Multimedia» more  MUE 2008»
15 years 9 months ago
Speaker Independent Phoneme Recognition Based on Fisher Weight Map
We have already proposed a new feature extraction method based on higher-order local auto-correlation and Fisher weight map (FWM) at Interspeech2006. This paper shows effectivenes...
Takashi Muroi, Tetsuya Takiguchi, Yasuo Ariki
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
15 years 9 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
AUSAI
2008
Springer
15 years 5 months ago
Learning Object Representations Using Sequential Patterns
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Nobuyuki Morioka
BMVC
2010
15 years 1 months ago
Large-scale Dictionary Learning For Local Coordinate Coding
Local coordinate coding has recently been introduced to learning visual feature dictionary and achieved top level performance for object recognition. However, the computational co...
Bo Xie, Mingli Song, Dacheng Tao
ICCV
2005
IEEE
16 years 5 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall