Data integration with high dimensionality.

A Monte Carlo-Based Search Strategy for Dimensionality Reduction in Performance Tuning Parameters

Redundant and irrelevant features in high dimensional data increase the complexity in underlying mathematical models. It is necessary to conduct pre-processing steps that search for the most relevant features in order to reduce the dimensionality of the data. This study made use of a meta-heuristic search approach which uses lightweight random simulations to balance between the exploitation of ...

Rough Set-based Dimensionality Reduction for Supervised and Unsupervised Learning

The curse of dimensionality is a damning factor for numerous potentially powerful machine learning techniques. Widely approved and otherwise elegant methodologies used for a number of different tasks ranging from classification to function approximation exhibit relatively high computational complexity with respect to dimensionality. This limits severely the applicability of such techniques to r...

Plurigon: three dimensional visualization and classification of high-dimensionality data

High-dimensionality data is rapidly becoming the norm for biomedical sciences and many other analytical disciplines. Not only is the collection and processing time for such data becoming problematic, but it has become increasingly difficult to form a comprehensive appreciation of high-dimensionality data. Though data analysis methods for coping with multivariate data are well-documented in tech...

X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction

Due to the vast amount and pace of high-dimensional data production, dimensionality reduction emerges as an important requirement in many application areas. In this paper, we introduce X-SDR, a prototype designed specifically for the deployment and assessment of dimensionality reduction techniques. X-SDR is an integrated environment for dimensionality reduction and knowledge discovery that can ...

High Dimensional Integration: New Weapons Fighting the Curse of Dimensionality

Zhejiang University at TRECVID 2006

We participated in the high-level feature extraction and interactive-search task for TRECVID 2006. Interaction and integration of multi-modality media types such as visual, audio and textual data in video are the essence of video content analysis. Although any uni-modality type partially expresses limited semantics less or more, video semantics are fully manifested only by interaction and integ...