Hyper-redundant manipulation is the use of a hyper-DOF robotic system to accomplish tasks such as picking, placing, reaching, and exploring in challenging environments. Hyper-redundant manipulation involves both finding collisionfree configuration-space paths (the path planning (PP) problem) and transforming a given workspace target pose into a configuration space goal (the inverse kinematics (...

Clustering is one of the important aspect in data mining. Clustering means similar group of objects. VA-file is a technique to combat the curse of dimensionality and hence necessarily ignores dependencies across dimensions. Existing methods to prune irrelevant clusters are based on bounding hyper spheres or bounding rectangles, whose lack of tightness compromises their efficiency in exact neare...

Hypertexture is a powerful and exible procedural modeling tool that is currently limited only by an ine cient rendering mechanism. We analyze the terms of hypertexture functions to obtain an importance measure, capitalize on spatial and image coherence when possible. These enhancements make a guaranteed algorithm for ray-tracing implicit surfaces signi cantly more e cient for rendering hypertex...

In this paper a hybrid passivity based and fuzzy type-2 controller for chaotic and hyper-chaotic systems is presented. The proposed control strategy is an appropriate choice to be implemented for the stabilization of chaotic and hyper-chaotic systems due to the energy considerations of the passivity based controller and the flexibility and capability of the fuzzy type-2 controller to deal with ...

In this paper, we present a two-stage process for developing feature extractors (FEs) for facial recognition. In this process, a genetic algorithm is used to evolve a number of local binary patterns (LBP) based FEs with each FE consisting of a number of (possibly) overlapping patches from which features are extracted from an image. These FEs are then overlaid to form what is referred to as a hy...

A significant body of literature has explored various research directions in hyper-heuristics (which can be thought as heuristics to choose heuristics). In this paper we define a graph based hyper-heuristic (GHH) framework and compare the performance of a number of local search based searching algorithms as the high level heuristics. They are used to search upon permutations of low level graph ...

Octree Splitting We extend the irregular pyramid segmentation scheme to three dimensional (3D) digital space and we call it hyper-irregular pyramid segmentation. Based on this segmentation scheme, a 3D texture image is split into partitions recursively based on octree structure. The testure features are calculated based on 3D gray level spatial dependency measurement. The octree is subsequently...