5 Result(s)
within
Yiqun Hu
English
Algorithm Analysis and Problem Complexity
-
Chapter and Conference Paper
Single Image Super Resolution via Neighbor Reconstruction
Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the map** between the low and high resolution manifolds of image patches. Anchored neighborhood regression for SR (namely A+ [
-
Chapter and Conference Paper
Sustained Observability for Salient Motion Detection
Detection of the motion of foreground objects on the backdrop of constantly changing and complex visuals has always been challenging. The motion of foreground objects, which is termed as salient motion, is mar...
-
Chapter and Conference Paper
Unsupervised Feature Selection for Salient Object Detection
Feature selection plays a crucial role in deciding the salient regions of an image as in any other pattern recognition problem. However the problem of identifying the relevant features that plays a fundamental...
-
Chapter and Conference Paper
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content
Salient region detection in images is a challenging task, despite its usefulness in many applications. By modeling an image as a collection of clusters, we design a unified clustering framework for salient reg...
-
Chapter and Conference Paper
Image-to-Class Distance Metric Learning for Image Classification
Image-To-Class (I2C) distance is first used in Naive-Bayes Nearest-Neighbor (NBNN) classifier for image classification and has successfully handled datasets with large intra-class variances. However, the perfo...
