No |
220879 |
標題(和) |
SUPERVISED NMF AS A SPARSE OPTIMIZATION PROBLEM |
標題(英) |
SUPERVISED NMF AS A SPARSE OPTIMIZATION PROBLEM |
研究会名(和) |
信号処理, 回路とシステム, 通信方式 |
研究会名(英) |
Signal Processing, Circuits and Systems, Communication Systems |
開催年月日 |
2013-03-14 |
終了年月日 |
2013-03-15 |
会議種別コード |
5 |
共催団体名(和) |
|
資料番号 |
CAS2012-114, SIP2012-145, CS2012-120 |
抄録(和) |
|
抄録(英) |
In this paper, we propose a novel scheme to supervised nonnegative\r\nmatrix factorization (NMF). We formulate the supervised NMF as a sparse optimization problem assuming the availability of a set of basis vectors, some of which are irrelevant to a given matrix to be decomposed. The number of basis vectors to be actively used is obtained as a consequence of optimization. We present a state-of-the-art convex-analytic iterative solver\r\nwhich ensures global convergence. Simulation results show the efficacy of the proposed scheme in the case of perfect basis matrix. |
収録資料名(和) |
電子情報通信学会技術研究報告 |
収録資料の巻号 |
Vol.112, No.484,485,486 |
ページ開始 |
105 |
ページ終了 |
109 |
キーワード(和) |
|
キーワード(英) |
supervised nonnegative matrix factorization,sparse optimization,convex analysis |
本文の言語 |
ENG |
著者(和) |
森川優 |
著者(ヨミ) |
モリカワ ユウ |
著者(英) |
Yu Morikawa |
所属機関(和) |
新潟大学 |
所属機関(英) |
Niigata University |
著者(和) |
湯川正裕 |
著者(ヨミ) |
ユカワ マサヒロ |
著者(英) |
Masahiro Yukawa |
所属機関(和) |
新潟大学 |
所属機関(英) |
Niigata University |