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CVPR
1997
IEEE
15 years 8 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong
ICASSP
2010
IEEE
15 years 4 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
IWPC
2010
IEEE
15 years 3 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
ICASSP
2007
IEEE
15 years 11 months ago
Importance of Feature Locations in Bag-of-Words Image Classification
The impact of image feature locations in the bag-of-words model for object classification is examined. It is demonstrated that a simple variance-based method works well and offer...
Nevena Lazic, Parham Aarabi
CVPR
2005
IEEE
16 years 6 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes