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ORCID25th MLSP 2015: Boston, MA, USA
- Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen:
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015. IEEE 2015, ISBN 978-1-4673-7454-5 - Yasin Yilmaz, Alfred O. Hero III:
Multimodal factor analysis. 1-6 - Ching-Chun Huang, Hoang Tran Vu
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A multi-layer discriminative framework for parking space detection. 1-6 - Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat:
Efficient and distributed tracking of evolving state. 1-6 - Mostafa Rahmani, George K. Atia:
Randomized robust subspace recovery for big data. 1-6 - Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Xiao-Ying Ma, Michael Wammes, Tian-Zi Jiang, Jing Sui, Vince D. Calhoun:
Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm. 1-6 - Rubem Geraldo Vasconcelos Machado, Hilton de Oliveira Mota:
Simple self-scalable grid classifier for signal denoising in digital processing systems. 1-6 - Yichi Zhang, Zhiyao Duan:
Retrieving sounds by vocal imitation recognition. 1-6 - Ramesh Annavajjala, Rami S. Mangoubi, Christopher C. Yu, James M. Zagami:
An online learning approach to throughput optimization in wireless networks under dynamic and unknown interference conditions. 1-6 - José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern:
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. 1-6 - N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Universal online prediction via order preserving patterns. 1-6 - Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank:
A rate-distortion framework for supervised learning. 1-6 - Sven Krasser, Brett Meyer, Patrick Crenshaw:
Valkyrie: Behavioral malware detection using global kernel-level telemetry data. 1-6 - Olivier Harant, Louise Foan, Francois Bertholon, Severine Vignoud, Pierre Grangeat:
Nonparametric Bayesian inference on environmental waters chromatographic profiles. 1-6 - Chao-Hui Huang:
Semi-supervised color decomposition for histopathological images using exclusive component analysis. 1-6 - Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Simultaneous instance annotation and clustering in multi-instance multi-label learning. 1-6 - Hadrien Glaude, Cyrille Enderli, Jean-François Grandin, Olivier Pietquin:
Learning of scanning strategies for electronic support using predictive state representations. 1-6 - Zhicong Qiu, David J. Miller, George Kesidis:
Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data. 1-6 - Gianluigi Pillonetto:
Identification of hybrid systems using stable spline kernels. 1-6 - Carla Agurto, E. Simon Barriga, Mark R. Burge, Peter Soliz:
Characterization of diabetic peripheral neuropathy in infrared video sequences using independent component analysis. 1-6 - Karol J. Piczak:
Environmental sound classification with convolutional neural networks. 1-6 - Fernando Villavicencio, Jordi Bonada, Yuji Hisaminato:
Observation-model error compensation for enhanced spectral envelope transformation in voice conversion. 1-6 - Andrew Knyazev, Alexander Malyshev:
Accelerated graph-based spectral polynomial filters. 1-6 - Yonghong Huang, Paula Greve:
Large scale graph mining for web reputation inference. 1-6 - Mihai Cucuringu, Joseph Woodworth:
Ordinal embedding of unweighted kNN graphs via synchronization. 1-6 - Fahd Bouzaraa, Onay Urfalioglu:
A Naive Bayes approach to improve histogram matching quality. 1-6 - Hong Phuong Dang, Pierre Chainais:
A Bayesian non parametric approach to learn dictionaries with adapted numbers of atoms. 1-6 - Aldo Mora-Sánchez, Antoine Gaume, Gérard Dreyfus, François-Benoît Vialatte:
A cognitive brain-computer interface prototype for the continuous monitoring of visual working memory load. 1-5 - Theodoros Tsiligkaridis, Keith W. Forsythe:
A sequential Bayesian inference framework for blind frequency offset estimation. 1-6 - Alvaro Ulloa, Sergey M. Plis, Erik B. Erhardt, Vince D. Calhoun:
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. 1-6 - Sadaf Monajemi, Saeid Sanei, Sim Heng Ong, Ali H. Sayed:
Adaptive regularized diffusion adaptation over multitask networks. 1-5 - Mohammad Moghadamfalahi, Jamshid Sourati, Murat Akçakaya, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface. 1-6 - Jérôme Pasquet, Marc Chaumont, Gérard Subsol, Mustapha Derras:
An efficient multi-resolution SVM network approach for object detection in aerial images. 1-6 - Francesco A. N. Palmieri, Amedeo Buonanno:
Discrete independent component analysis (DICA) with belief propagation. 1-6 - Olga Zoidi, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Multi-modal label propagation based on a higher order similarity matrix. 1-6 - Jamshid Sourati, Deniz Erdogmus, Murat Akçakaya, Steven C. Kazmierczak, Todd K. Leen:
A novel delta check method for detecting laboratory errors. 1-6 - Robert M. Taylor, Burhan Necioglu:
Statistical embeddings using a multilayer union of subspaces. 1-6 - Amirhossein Tavanaei, Anthony S. Maida:
Studying the interaction of a hidden Markov model with a Bayesian spiking neural network. 1-6 - Yossi Adi, Joseph Keshet, Matthew Goldrick:
Vowel duration measurement using deep neural networks. 1-6 - Duo Chen, Suiren Wan, Forrest Sheng Bao:
Epileptic focus localization using EEG based on discrete wavelet transform through full-level decomposition. 1-6 - Hirokazu Kameoka:
Modeling speech parameter sequences with latent trajectory Hidden Markov model. 1-6 - Ruizhe Li, Constantine Kotropoulos, Chang-Tsun Li, Yu Guan:
Random subspace method for source camera identification. 1-5 - Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus:
Manifold unwrapping using critical surfaces. 1-6 - Antonio Jesús Díaz-Honrubia, Johan De Praeter, Sebastiaan Van Leuven, Jan De Cock, José Luis Martínez, Pedro Cuenca:
Using Bayesian classifiers for low complexity multiview H.264/AVC and HEVC hybrid architecture. 1-6 - Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. 1-6 - Qinbing Fu, Shigang Yue:
Modelling LGMD2 visual neuron system. 1-6 - Hang Yu, Justin Dauwels:
Variational Bayes learning of graphical models with hidden variables. 1-6 - Rodrigo Carvajal, Juan C. Agüero, Boris I. Godoy, Dimitrios Katselis:
A map approach for ℓq-norm regularized sparse parameter estimation using the EM algorithm. 1-6 - Mengqi Ji, Lu Fang, Haitian Zheng, Matti Strese, Eckehard G. Steinbach:
Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse Autoencoder. 1-6 - Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei:
Multiview classification of brain data through tensor factorisation. 1-6 - Elnaz Barshan, Paul W. Fieguth, Alexander Wong:
Scalable multi-neighborhood learning for convolutional networks. 1-6 - Amir Jalalirad, Tjalling J. Tjalkens:
Using a penalized maximum likelihood model for feature selection. 1-6 - Iman Abbasnejad, Damien Teney:
A hierarchical Bayesian network for face recognition using 2D and 3D facial data. 1-6 - Yi-Ting Bao, Jen-Tzung Chien:
Tensor classification network. 1-6 - Evangelia Pantraki, Constantine Kotropoulos:
Automatic image tagging and recommendation via PARAFAC2. 1-6 - Joakim Andén, Vincent Lostanlen, Stéphane Mallat:
Joint time-frequency scattering for audio classification. 1-6 - A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Maximum a posteriori estimation of relative abundances of protein conformations. 1-5 - Eduardo Castro, R. Devon Hjelm, Sergey M. Plis, Laurent Dinh, Jessica A. Turner, Vince D. Calhoun:
Deep independence network analysis of structural brain imaging: A simulation study. 1-6 - Hung-Yu Chen, Jen-Tzung Chien:
Deep semi-supervised learning for domain adaptation. 1-6 - Cristina Soguero-Ruíz, Robert Jenssen:
Kernel covariance series smoothing. 1-6 - Hamid Dadkhahi, Marco F. Duarte, Benjamin M. Marlin:
Isomap out-of-sample extension for noisy time series data. 1-6 - Buhua Chen, Bo Chen, Hongwei Liu, Xuefeng Zhang:
Max-margin similarity preserving factor analysis via Gibbs sampling. 1-6 - Yuanzhe Bei, Pengyu Hong:
Maximizing margin quality and quantity. 1-6 - Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, Javed A. Aslam:
Securing virtual execution environments through machine learning-based intrusion detection. 1-6 - Takato Goto, Yasushi Hanatsuka, Tomoyuki Higuchi, Tomoko Matsui:
Road condition classification using a new global alignment kernel. 1-6 - Matthew Emigh, Evan Kriminger, José Carlos Príncipe:
A model based approach to exploration of continuous-state MDPs using Divergence-to-Go. 1-6 - Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat:
High dimensional sequential regression on manifolds using adaptive hierarchical trees. 1-6 - Pejman Khadivi, Prithwish Chakraborty, Ravi Tandon, Naren Ramakrishnan:
Time series forecasting via noisy channel reversal. 1-6 - Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Unsupervised segmentation of task activated regions in fMRI. 1-6 - Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Large scale collaboration with autonomy: Decentralized data ICA. 1-6 - Shahrzad Shapoori, Saeid Sanei, Wenwu Wang:
Blind source separation of medial temporal discharges via partial dictionary learning. 1-5 - Gabriel Nallathambi, José C. Príncipe, Neil R. Euliano:
Pulse based signal processing for systolic peak recognition. 1-6 - Andrea Cogliati, Zhiyao Duan, Brendt Wohlberg:
Piano music transcription with fast convolutional sparse coding. 1-6 - Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online anomaly detection with constant false alarm rate. 1-6
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