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» Testing of Image Processing Algorithms on Synthetic Data
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ICTAI
2006
IEEE
15 years 9 months ago
MI-Winnow: A New Multiple-Instance Learning Algorithm
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...
Sharath R. Cholleti, Sally A. Goldman, Rouhollah R...
137
Voted
ICIP
2010
IEEE
15 years 1 months ago
Plenoptic based super-resolution for omnidirectional image sequences
This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In or...
Luigi Bagnato, Yannick Boursier, Pascal Frossard, ...
112
Voted
ICISP
2010
Springer
15 years 1 months ago
Frequency Tracking with Spline Based Chirp Atoms
The tracking of prominent oscillations with time-varying frequencies is a common task in many signal processing applications. Therefore, efficient methods are needed to meet preci...
Matthias Wacker, Miroslaw Galicki, Herbert Witte
ICPR
2008
IEEE
15 years 9 months ago
Real-time accurate optical flow-based motion sensor
An accurate real-time motion sensor implemented in an FPGA is introduced in this paper. This sensor applies an optical flow algorithm based on ridge regression to solve the collin...
Zhaoyi Wei, Dah-Jye Lee, Brent E. Nelson, James K....
115
Voted
CVPR
2010
IEEE
15 years 11 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai