Title :
The eighth annual MLSP competition: First place team
Author :
Gupta, Ankit ; Mishra, Shashwat ; Mukerjee, Amitabha
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
Our basic strategy is to examine the spatial neighborhood of the point, P, for its classification. Each point Q in P´s neighborhood contributes a binary vote. The sum of these votes, VP, is compared against a threshold τ and access is granted if the value VP is greater than the threshold.
Keywords :
learning (artificial intelligence); pattern classification; binary vote; eighth annual MLSP competition; point spatial neighborhood classification; Accuracy; Conferences; Gold; Machine learning; Signal processing; Terminology; Training data; nearest-neighbor; similarity measure; weighted voting;
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
Conference_Location :
Santander
Print_ISBN :
978-1-4673-1024-6
Electronic_ISBN :
1551-2541
DOI :
10.1109/MLSP.2012.6349771
