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Atsunori Kanemura
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2020 – today
- 2024
- [i4]Hiroyuki Tokunaga, Joel Nicholls, Daria Vazhenina, Atsunori Kanemura:
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table. CoRR abs/2407.16174 (2024) - 2021
- [i3]Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto, Atsunori Kanemura:
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection. CoRR abs/2104.04289 (2021) - 2020
- [j17]Yujie Li
, Atsunori Kanemura
Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos. IEEE Access 8: 122281-122291 (2020) - [j16]Suguru Kanoga
Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy. Biomed. Signal Process. Control. 60: 101981 (2020) - [c28]Daria Vazhenina, Atsunori Kanemura:
Gated Extra Memory Recurrent Unit for Learning Video Representations. JSAI 2020: 166-174 - [c27]Yeo Ree Wang, Atsunori Kanemura:
Designing Lightweight Feature Descriptor Networks with Depthwise Separable Convolution. JSAI 2020: 183-191 - [c26]Lenin Torres-Valverde, Nevrez Imamoglu
Evaluation of neural networks with data quantization in low power consumption devices. LASCAS 2020: 1-4
2010 – 2019
- 2019
- [j15]Yujie Li
An $\ell_{1/2}$ -Norm Regularizer-Based Sparse Coding Framework for Gaze Prediction in First-Person Videos. IEEE Access 7: 42472-42481 (2019) - [j14]Yujie Li
Residual-Network-Based Supervised Gaze Prediction for First-Person Videos. IEEE Access 7: 56208-56216 (2019) - [j13]Suguru Kanoga
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms. Neurocomputing 347: 240-250 (2019) - [j12]Suguru Kanoga, Atsunori Kanemura
Corrigendum to "Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms" [Neurocomputing 347 (2019) 240-250]. Neurocomputing 359: 526 (2019) - [c25]Daria Vazhenina, Atsunori Kanemura
Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs). JSAI 2019: 45-52 - 2018
- [j11]Yujie Li
Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming. Complex. 2018: 2685745:1-2685745:12 (2018) - [j10]Benying Tan, Yujie Li, Shuxue Ding, Incheon Paik, Atsunori Kanemura
DC programming for solving a sparse modeling problem of video key frame extraction. Digit. Signal Process. 83: 214-222 (2018) - [j9]Ryu Sugimoto
Automated Attitude Determination for Pushbroom Sensors Based on Robust Image Matching. Remote. Sens. 10(10): 1629 (2018) - [c24]Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe:
Supervised saliency maps for first-person videos based on sparse coding. APSIPA 2018: 2000-2005 - [c23]Yasutaka Shindoh, Atsunori Kanemura, Yusuke Miyao:
A Simple Method to Remove Reviews against Guideline for Online Review Services. IEEE BigData 2018: 2319-2327 - [c22]Suguru Kanoga
Transfer Learning Over Time and Position in Wearable Myoelectric Control Systems. EMBC 2018: 1-4 - [c21]Atsunori Kanemura
Imputing Missing Values in EEG with Multivariate Autoregressive Models. EMBC 2018: 2639-2642 - [c20]Suguru Kanoga
Semi-simulation Experiments for Quantifying the Performance of SSVEP-based BCI after Reducing Artifacts from Trapezius Muscles. EMBC 2018: 4824-4827 - [c19]Suguru Kanoga
A Comparative Study of Features and Classifiers in Single-Channel EEG-Based Motor Imagery BCI. GlobalSIP 2018: 474-478 - [c18]Yujie Li, Atsunori Kanemura
A Sparse Coding Framework for Gaze Prediction in Egocentric Video. ICASSP 2018: 1313-1317 - [c17]Kento Nozawa, Masanari Kimura
Analyzing Centralities of Embedded Nodes. ICDM Workshops 2018: 1046-1049 - [c16]Suguru Kanoga
Assessing the effect of transfer learning on myoelectric control systems with three electrode positions. ICIT 2018: 1478-1483 - [c15]Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura
Answering Mixed Type Questions about Daily Living Episodes. IJCAI 2018: 4265-4271 - [c14]Takayuki Hoshino, Suguru Kanoga
A No-Reference Metric of Cerebral Blood Flow Extraction for fNIRS Data. SMC 2018: 83-89 - [i2]Kento Nozawa, Masanari Kimura
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms. CoRR abs/1802.06368 (2018) - 2017
- [j8]Toru Kouyama
Satellite Attitude Determination and Map Projection Based on Robust Image Matching. Remote. Sens. 9(1): 90 (2017) - [j7]Takao Murakami
Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. IEEE Trans. Inf. Forensics Secur. 12(3): 689-704 (2017) - [c13]Yujie Li, Atsunori Kanemura
Extracting key frames from first-person videos in the common space of multiple sensors. ICIP 2017: 3993-3997 - [c12]Yujie Li, Atsunori Kanemura
Key frame extraction from first-person video with multi-sensor integration. ICME 2017: 1303-1308 - [c11]Atsunori Kanemura, Toru Kouyama
Turning a two-dimensional image sensor to an attitude sensor: Image matching for determining satellite attitudes. IGARSS 2017: 2748-2751 - [c10]Yujie Li, Benying Tan, Shuxue Ding, Incheon Paik, Atsunori Kanemura:
Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming. MCSoC 2017: 174-180 - [c9]Genta Yoshimura, Atsunori Kanemura, Hideki Asoh
Reconstructable and Interpretable Representations for Time Series with Time-Skip Sparse Dictionary Learning. ACM Multimedia (Thematic Workshops) 2017: 323-331 - [i1]Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii:
Neural Sequence Model Training via $α$-divergence Minimization. CoRR abs/1706.10031 (2017) - 2016
- [c8]Kenshi Uchihashi, Atsunori Kanemura
Modeling the Propensity Score with Statistical Learning. ICONIP (4) 2016: 261-269 - 2015
- [j6]Hiroshi Morioka, Atsunori Kanemura
Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage 111: 167-178 (2015) - [c7]Atsunori Kanemura
Automatic Categorization of Health Indices for Risk Quantification. EUSPN/ICTH 2015: 325-331 - [c6]Takao Murakami, Atsunori Kanemura
Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. TrustCom/BigDataSE/ISPA (1) 2015: 621-629 - 2014
- [j5]Hiroshi Morioka, Atsunori Kanemura
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage 90: 128-139 (2014) - 2013
- [c5]Atsunori Kanemura
A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration. IROS 2013: 865-870 - 2012
- [j4]Makoto Fukushima
A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. IEEE Trans. Biomed. Eng. 59(6): 1561-1571 (2012) - 2010
- [j3]Atsunori Kanemura
Bayesian image superresolution and hidden variable modeling. J. Syst. Sci. Complex. 23(1): 116-136 (2010) - [j2]Atsunori Kanemura
Sparse Bayesian Learning of Filters for Efficient Image Expansion. IEEE Trans. Image Process. 19(6): 1480-1490 (2010) - [c4]Wataru Fukuda, Shin-ichi Maeda, Atsunori Kanemura
Bayesian X-ray computed tomography using material class knowledge. ICASSP 2010: 2126-2129
2000 – 2009
- 2009
- [j1]Atsunori Kanemura
Superresolution with compound Markov random fields via the variational EM algorithm. Neural Networks 22(7): 1025-1034 (2009) - [c3]Atsunori Kanemura
Learning color image expansion filters. ICIP 2009: 357-360 - [c2]Wataru Fukuda, Atsunori Kanemura
Superresolution from Occluded Scenes. ICONIP (2) 2009: 19-27 - 2007
- [c1]Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields. ICANN (2) 2007: 611-620
Coauthor Index
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