𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Pairwise fusion matrix for combining classifiers

✍ Scribed by Albert H.R. Ko; Robert Sabourin; Alceu de Souza Britto Jr.; Luiz Oliveira


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
424 KB
Volume
40
Category
Article
ISSN
0031-3203

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


On combining classifiers for speaker aut
✍ Leandro Rodrı́guez-Liñares; Carmen Garcı́a-Mateo; José Luis Alba-Castro 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 368 KB

Speaker veriÿcation and utterance veriÿcation are examples of techniques that can be used for speaker authentication purposes. Speaker veriÿcation consists of accepting or rejecting the claimed identity of a speaker by processing samples of his=her voice. Usually, these systems are based on HMM mod

BIMM: A Bias Induced Matrix Model for In
✍ Daji Ergu; Gang Kou; Yi Peng; Yong Shi; Yu Shi 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 235 KB

## ABSTRACT The reciprocal pairwise comparison matrix is a well‐established technique and widely used in multiple criteria decision making methods. However, some entries in a pairwise comparison matrix may not be available in many real‐world decision problems. The goal of this paper is to propose a

Combining classifier decisions for robus
✍ Daniel J. Mashao; Marshalleno Skosan 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 232 KB

In this work, we combine the decisions of two classifiers as an alternative means of improving the performance of a speaker recognition system in adverse environments. The difference between these classifiers is in their feature-sets. One system is based on the popular mel-frequency cepstral coeffic