Denso Corporation

Nara Institute of Science and Technology

Ngk Insulators, Inc.

Hisamitsu Pharmaceutical Company, Inc.

Chiba-prefecture

Shin Ishii

Takashi Bando

Naoki Fukaya

Mikio Shimizu

Tomohiro Shibata

Hiroyuki Kubo

Takeshi Goto

Akira Nakagawara

Yasuko Yoshida

Saichi Yamada

Takahiro Hirata

Miki Ohira

A face model providing portion provides an stored average face model to an estimation portion estimating an affine parameter for obtaining a head pose. An individual face model learning portion obtains a result of tracking feature points by the estimation portion and learns an individual face model. The individual face model learning portion terminates the learning when a free energy of the individual face model is over a free energy of the average face model, and switches a face model provided to the estimation portion from the average face model to the individual face model. While learning the individual face mode, an observation matrix is factorized using a reliability matrix showing reliability of each observation value forming the observation matrix with emphasis on the feature point having higher reliability.

Three dimensional shape reconstitution device and estimation device

An estimation device estimates a hidden state of an estimation subject from an observable state in a manner of a time series. The observable state is observed from the hidden state of the estimation subject under a procedure that has a hierarchical structure, which includes the hidden state of the estimation subject, the observable state, and an intermediate hidden state therebetween. The estimation device includes an estimation subject hidden state predicting means, an intermediate hidden state predicting means based on the state transition structure of the hidden state of the estimation subject, an intermediate hidden state likelihood observing means, an intermediate hidden state estimating means, an estimation subject hidden state likelihood observing means, estimation subject hidden state estimating means, an intermediate hidden state predicting means based on the state transition structure of the intermediate hidden state, and the mixing means.

Estimation device

A microarray for predicting the prognosis of neuroblastoma, wherein the microarray has 25 to 45 probes related to good prognosis, which are hybridized to a gene transcript whose expression is increased in a good prognosis patient with neuroblastoma and are selected from 96 polynucleotides consisting of the nucleotide sequences of SEQ. ID NOs. 1, 5, 6, 14. 16, 17, 19, 22-24, 28, 29, 31, 37, 39, 40, 43, 44, 47-52, 54, 57-60, 62, 64, 65, 67, 68, 72-75, 77, 78, 80-82, 84, 87, 89-91, 94, 100, 103, 112, 113, 118, 120, 129, 130, 132, 136, 138, 142, 144, 145, 148, 150-153, 155, 158-160, 163-165, 169-171, 173, 174, 177, 178, 180-182, 184, 186, 187, 189, 191, 192, 194, 195, 198-200 or their partial continuous sequences or their complementary strands, and 25 to 45 probes related to poor prognosis, which are hybridized to a gene transcript whose expression is increased in a poor prognosis patient with neuroblastoma and are selected from 104 polynucleotides consisting of the nucleotide sequences of SEQ. ID NOs. 2-4, 7-13, 15, 18, 20, 21, 25-27, 30, 32-36, 38, 41, 42, 45, 46, 53, 55, 56, 61, 63, 66, 69-71, 76, 79, 83, 85, 86, 88, 92, 93, 95-99, 101, 102, 104-111, 114-117, 119, 121-128, 131, 133-135, 137, 139-141, 143, 146, 147, 149, 154, 156, 157, 161, 162, 166-168, 172, 175, 176, 179, 183, 185, 188, 190, 193, 196, 197 or their partial continuous sequences or their complementary strands.

Microarray for predicting the prognosis of neuroblastoma and method for predicting the prognosis of neuroblastoma

Growing community of inventors

Ikoma, Japan

Shin Ishii