Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICANN (2), 2007)

Learning color image expansion filters. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICIP, 2009)

Superresolution from Occluded Scenes. - Wataru Fukuda; Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (ICONIP (2), 2009)

Superresolution with compound Markov random fields via the variational EM algorithm. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (Neural Networks, 2009)

Bayesian X-ray computed tomography using material class knowledge. - Wataru Fukuda; Shin-ichi Maeda; Atsunori Kanemura; Shin Ishii (ICASSP, 2010)

Bayesian image superresolution and hidden variable modeling. - Atsunori Kanemura; Shin-ichi Maeda; Wataru Fukuda; Shin Ishii (J. Syst. Sci. Complex., 2010)

Sparse Bayesian Learning of Filters for Efficient Image Expansion. - Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (IEEE Trans. Image Process., 2010)

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. - Makoto Fukushima; Okito Yamashita; Atsunori Kanemura; Shin Ishii; Mitsuo Kawato; Masa-aki Sato (IEEE Trans. Biomed. Eng., 2012)

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. - Atsunori Kanemura; Yoichi Morales Saiki; Motoaki Kawanabe; Hiroshi Morioka; Nagasrikanth Kallakuri; Tetsushi Ikeda; Takahiro Miyashita; Norihiro Hagita; Shin Ishii (IROS, 2013)

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. - Hiroshi Morioka; Atsunori Kanemura; Satoshi Morimoto; Taku Yoshioka; Shigeyuki Oba; Motoaki Kawanabe; Shin Ishii (NeuroImage, 2014)

Automatic Categorization of Health Indices for Risk Quantification. - Atsunori Kanemura; Gérard Lipowski; Hidehiko Komine; Shotaro Akaho (EUSPN/ICTH, 2015)

Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. - Takao Murakami; Atsunori Kanemura; Hideitsu Hino (TrustCom/BigDataSE/ISPA (1), 2015)

Learning a common dictionary for subject-transfer decoding with resting calibration. - Hiroshi Morioka; Atsunori Kanemura; Junichiro Hirayama; Manabu Shikauchi; Takeshi Ogawa; Shigeyuki Ikeda; Motoaki Kawanabe; Shin Ishii (NeuroImage, 2015)

Modeling the Propensity Score with Statistical Learning. - Kenshi Uchihashi; Atsunori Kanemura (ICONIP (4), 2016)

Extracting key frames from first-person videos in the common space of multiple sensors. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICIP, 2017)

Key frame extraction from first-person video with multi-sensor integration. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICME, 2017)

Turning a two-dimensional image sensor to an attitude sensor: Image matching for determining satellite attitudes. - Atsunori Kanemura; Toru Kouyama; Soushi Kato; Nevrez Imamoglu; Tetsuya Fukuhara; Ryosuke Nakamura (IGARSS, 2017)

Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming. - Yujie Li 002; Benying Tan; Shuxue Ding; Incheon Paik; Atsunori Kanemura (MCSoC, 2017)

Reconstructable and Interpretable Representations for Time Series with Time-Skip Sparse Dictionary Learning. - Genta Yoshimura; Atsunori Kanemura; Hideki Asoh (ACM Multimedia (Thematic Workshops), 2017)

Neural Sequence Model Training via $α$-divergence Minimization. - Sotetsu Koyamada; Yuta Kikuchi; Atsunori Kanemura; Shin-ichi Maeda; Shin Ishii (CoRR, 2017)

Satellite Attitude Determination and Map Projection Based on Robust Image Matching. - Toru Kouyama; Atsunori Kanemura; Soushi Kato; Nevrez Imamoglu; Tetsuya Fukuhara; Ryosuke Nakamura (Remote. Sens., 2017)

Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. - Takao Murakami; Atsunori Kanemura; Hideitsu Hino (IEEE Trans. Inf. Forensics Secur., 2017)

Supervised saliency maps for first-person videos based on sparse coding. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (APSIPA, 2018)

A Simple Method to Remove Reviews against Guideline for Online Review Services. - Yasutaka Shindoh; Atsunori Kanemura; Yusuke Miyao (IEEE BigData, 2018)

Imputing Missing Values in EEG with Multivariate Autoregressive Models. - Atsunori Kanemura; Yuhsen Cheng; Takumi Kaneko; Kento Nozawa; Shuichi Fukunaga (EMBC, 2018)

Transfer Learning Over Time and Position in Wearable Myoelectric Control Systems. - Suguru Kanoga; Masashi Matsuokal; Atsunori Kanemura (EMBC, 2018)

Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles. - Suguru Kanoga; Masaki Nakanishi; Akihiko Murai; Mitsunori Tada; Atsunori Kanemura (EMBC, 2018)

A Comparative Study of Features and Classifiers in Single-Channel EEG-Based Motor Imagery BCI. - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh (GlobalSIP, 2018)

A Sparse Coding Framework for Gaze Prediction in Egocentric Video. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (ICASSP, 2018)

Analyzing Centralities of Embedded Nodes. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (ICDM Workshops, 2018)

Assessing the effect of transfer learning on myoelectric control systems with three electrode positions. - Suguru Kanoga; Atsunori Kanemura (ICIT, 2018)

Answering Mixed Type Questions about Daily Living Episodes. - Taiki Miyanishi; Junichiro Hirayama; Atsunori Kanemura; Motoaki Kawanabe (IJCAI, 2018)

A No-Reference Metric of Cerebral Blood Flow Extraction for fNIRS Data. - Takayuki Hoshino; Suguru Kanoga; Atsunori Kanemura; Takeshi Ogawa (SMC, 2018)

Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming. - Yujie Li 002; Benying Tan; Atsunori Kanemura; Shuxue Ding; Wuhui Chen (Complex., 2018)

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. - Kento Nozawa; Masanari Kimura; Atsunori Kanemura (CoRR, 2018)

DC programming for solving a sparse modeling problem of video key frame extraction. - Benying Tan; Yujie Li 002; Shuxue Ding; Incheon Paik; Atsunori Kanemura (Digit. Signal Process., 2018)

Automated Attitude Determination for Pushbroom Sensors Based on Robust Image Matching. - Ryu Sugimoto; Toru Kouyama; Atsunori Kanemura; Soushi Kato; Nevrez Imamoglu; Ryosuke Nakamura (Remote. Sens., 2018)

Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs). - Daria Vazhenina; Atsunori Kanemura (JSAI, 2019)

Residual-Network-Based Supervised Gaze Prediction for First-Person Videos. - Yujie Li 002; Shuxue Ding; Xiang Li 005; Benying Tan; Atsunori Kanemura (IEEE Access, 2019)

An $ ell_{1/2}$ -Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos. - Yujie Li 002; Zhenni Li; Atsunori Kanemura (IEEE Access, 2019)

Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms. - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh (Neurocomputing, 2019)

Corrigendum to "Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms" [Neurocomputing 347 (2019) 240-250]. - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh (Neurocomputing, 2019)

Gated Extra Memory Recurrent Unit for Learning Video Representations. - Daria Vazhenina; Atsunori Kanemura (JSAI, 2020)

Designing Lightweight Feature Descriptor Networks with Depthwise Separable Convolution. - Yeo Ree Wang; Atsunori Kanemura (JSAI, 2020)

Evaluation of neural networks with data quantization in low power consumption devices. - Lenin Torres-Valverde; Nevrez Imamoglu; Antonio González Torres; Toru Kouyama; Atsunori Kanemura (LASCAS, 2020)

Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. - Yujie Li 002; Atsunori Kanemura; Hideki Asoh; Taiki Miyanishi; Motoaki Kawanabe (IEEE Access, 2020)

Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy. - Suguru Kanoga; Atsunori Kanemura; Hideki Asoh (Biomed. Signal Process. Control., 2020)

MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection. - Ryuji Imamura; Kohei Azuma; Atsushi Hanamoto; Atsunori Kanemura (CoRR, 2021)

Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table. - Hiroyuki Tokunaga; Joel Nicholls; Daria Vazhenina; Atsunori Kanemura (CoRR, 2024)