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ICCV
2011
IEEE
14 years 6 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
16 years 1 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
14 years 2 months ago
Correlating financial time series with micro-blogging activity
We study the problem of correlating micro-blogging activity with stock-market events, defined as changes in the price and traded volume of stocks. Specifically, we collect messa...
Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castill...
PAMI
2012
13 years 9 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ECCV
2006
Springer
16 years 8 months ago
Inter-modality Face Recognition
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...
Dahua Lin, Xiaoou Tang