 | 2009 |
| 13 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method.
ICANN (2) 2009: 135-144 |
| 2008 |
| 12 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
An Overcomplete ICA Algorithm by InfoMax and InfoMin.
ICANN (1) 2008: 136-144 |
| 11 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
A connection-limited neural network by InfoMax and InfoMin.
IJCNN 2008: 2531-2537 |
| 2007 |
| 10 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Extraction of Approximate Independent Components from Large Natural Scenes.
ICONIP (1) 2007: 635-642 |
| 9 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Linear Multilayer ICA Generating Hierarchical Edge Detectors.
Neural Computation 19(1): 218-230 (2007) |
| 2006 |
| 8 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
The InfoMin Principle for ICA and Topographic Mappings.
ICA 2006: 958-965 |
| 7 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
A Fixed-Point Algorithm of Topographic ICA.
ICANN (2) 2006: 587-594 |
| 2005 |
| 6 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
An Efficient MDS Algorithm for the Analysis of Massive Document Collections.
KES (2) 2005: 1015-1021 |
| 5 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
An efficient MDS-based topographic mapping algorithm.
Neurocomputing 64: 285-299 (2005) |
| 2004 |
| 4 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis Using Stochastic Gradient Algorithm.
ICA 2004: 303-310 |
| 3 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Linear Multilayer Independent Component Analysis for Large Natural Scenes.
NIPS 2004 |
| 2003 |
| 2 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings.
ICANN 2003: 401-408 |
| 2001 |
| 1 |  | Yoshitatsu Matsuda,
Kazunori Yamaguchi:
Global Mapping Analysis: Stochastic Approximation for Multidimensional Scaling.
Int. J. Neural Syst. 11(5): 419-426 (2001) |