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Technical Committee on Pattern Recognition and Media Understanding (PRMU) (Searched in: 2016)
Search Results: Keywords 'from:2016-09-05 to:2016-09-05'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.)  PRMU2016-54 IBISML2016-9 |
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] | PRMU2016-54 IBISML2016-9 pp.1-5 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:30 |
Toyama | PRMU2016-55 IBISML2016-10 |
(To be available after the conference date) [more] | PRMU2016-55 IBISML2016-10 pp.7-12 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 10:00 |
Toyama | Document image retrieval using P2-invariant Tomotaka Ohnishi, Yuji Oyamada, Kazu Mishiba, Katuya Kondo (Tottori Univ.) PRMU2016-56 IBISML2016-11 |
Given an image capturing a document, document image retrieval finds the closest image from a document image database. ... [more] |
PRMU2016-56 IBISML2016-11 pp.13-18 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO) PRMU2016-57 IBISML2016-12 |
In this report, we study multi-frames features extracted by integrating point-clouds of LIDAR over multiple frames. We s... [more] | PRMU2016-57 IBISML2016-12 pp.19-24 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:30 |
Toyama | Real-time Human Pose Tracking Using Depth Sensor by Connected Sphere Model Daiki Fukuyama, Tsuyoshi Migita, Shakunaga Takeshi (Okayama Univ.) PRMU2016-58 IBISML2016-13 |
Human pose tracking on a depth image sequence can be achieved by using a generative-model-based method, where a human bo... [more] | PRMU2016-58 IBISML2016-13 pp.25-30 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 10:45 |
Toyama | PRMU2016-59 IBISML2016-14 |
[more] | PRMU2016-59 IBISML2016-14 pp.39-45 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 11:15 |
Toyama | An Approximate Expression of the Covariate-Vector in the Sparse Signal Analysis LASSO Yuichi Kida (Ohu Univ.), Takuro Kida (Tokyo Tech) PRMU2016-60 IBISML2016-15 |
[more] | PRMU2016-60 IBISML2016-15 pp.47-52 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 11:45 |
Toyama | Approximate Projection Expression of Nonlinear Artificial Intelligent Systems Based on Matrix Operator Polynomial Approximations Yuichi Kida (Ohu Univ.), Takuro Kida (Tokyo Tech.) PRMU2016-61 IBISML2016-16 |
[more] | PRMU2016-61 IBISML2016-16 pp.53-58 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 13:45 |
Toyama | Automatic Initial View Generation for 360 Degree Panoramic Images Takayuki Hara, Akihiro Kakinuma, Satomi Tanaka, Naohiro Kamijo (Ricoh) PRMU2016-62 IBISML2016-17 |
We present an automatic initial view generation method for a 360 degree panoramic image adaptive to the image contents. ... [more] | PRMU2016-62 IBISML2016-17 pp.83-88 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 13:15 |
Toyama | [Short Paper]
Selective Inference for Time-series Change-Point Analysis Yuta Umezu, Kazuya Nakagawa, Shigenori Inoue (NIT), Koji Tsuda (Tokyo Univ.), Mahito Sugiyama, Takuya Maekawa (Osaka Univ.), Toru Tamaki (Hiroshima Univ.), Ken Yoda (Nagoya Univ.), Ichiro Takeuchi (NIT) PRMU2016-63 IBISML2016-18 |
In this paper, we propose a statistical method for time series data after detecting a change point. Because the change p... [more] | PRMU2016-63 IBISML2016-18 pp.89-92 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 13:30 |
Toyama | PRMU2016-64 IBISML2016-19 |
(To be available after the conference date) [more] | PRMU2016-64 IBISML2016-19 pp.93-94 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 13:45 |
Toyama | PRMU2016-65 IBISML2016-20 |
(To be available after the conference date) [more] | PRMU2016-65 IBISML2016-20 pp.95-96 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 14:00 |
Toyama | PRMU2016-66 IBISML2016-21 |
[more] | PRMU2016-66 IBISML2016-21 pp.97-98 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 14:30 |
Toyama | [Fellow Memorial Lecture]
Memorial Lecture for Fellow Award: Pattern Recognition in Image Analysis Atsushi Imiya (Chiba Univ.) PRMU2016-67 IBISML2016-22 |
[more] | PRMU2016-67 IBISML2016-22 pp.99-104 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 16:15 |
Toyama | The Validity of Network In Network as a Visual System
-- From the Point of View of the Orientation Selectivity Map -- Satoshi Suzuki, Hayaru Shouno (UEC) PRMU2016-68 IBISML2016-23 |
In recent years, Deep Convolutional Neural Network (DCNN) has shown excellent performance in image recognition field. DC... [more] | PRMU2016-68 IBISML2016-23 pp.113-120 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 16:45 |
Toyama | Acoustic event detection and removal using LSTM-CTC for speech recognition Yu Nasu (former Toshiba), Hiroshi Fujimura (Toshiba) PRMU2016-69 IBISML2016-24 |
Deep learning techniques have drastically increased the speech recognition performance. However, there are few practical... [more] | PRMU2016-69 IBISML2016-24 pp.121-126 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 15:45 |
Toyama | Sparse learning for pattern mining problem by using Safe Pattern Pruning method Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama (NIT), Koji Tsuda (Univ. of Tokyo), Ichiro Takeuchi (NIT) PRMU2016-70 IBISML2016-25 |
In this paper we study predictive pattern mining problems where the goal is to construct a predictive model based on a s... [more] | PRMU2016-70 IBISML2016-25 pp.127-134 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 17:30 |
Toyama | 【Invited Short Survey】 A Survey on Approximate Nearest Neighbor Search Methods using Product Quantization Yusuke Matsui (NII) PRMU2016-71 IBISML2016-26 |
(To be available after the conference date) [more] | PRMU2016-71 IBISML2016-26 pp.147-152 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 17:50 |
Toyama | PRMU2016-72 IBISML2016-27 |
(To be available after the conference date) [more] | PRMU2016-72 IBISML2016-27 pp.153-156 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 18:10 |
Toyama | [Invited Short Survey] Integration of Convolutional Neural Networks and Conditional Random Fields Masaki Saito (PFN) PRMU2016-73 IBISML2016-28 |
Although Convolutional Neural Networks are one of the most frequently used methods for solving various types of problems... [more] | PRMU2016-73 IBISML2016-28 pp.157-162 |
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