Search Results - "Taylan Cemgil, Ali"

Bayesian Inference for Nonnegative Matrix Factorisation Models by Cemgil, Ali Taylan

“…We describe nonnegative matrix factorisation (NMF) with a Kullback-Leibler (KL) error measure in a statistical framework, with a hierarchical generative model…”
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Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes by Türkmen, Ali Caner, Januschowski, Tim, Wang, Yuyang, Cemgil, Ali Taylan

“…Intermittency are a common and challenging problem in demand forecasting. We introduce a new, unified framework for building probabilistic forecasting models…”
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Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons by Daniş, F Serhan, Cemgil, Ali Taylan

“…We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a…”
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Modeling Hierarchical Seasonality through Low-Rank Tensor Decompositions in Time Series Analysis by Barsbey, Melih, Cemgil, Taylan

“…Accurately representing periodic behavior is a frequently encountered challenge in modeling time series. This is especially true for observations where…”
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Single-Channel Speech-Music Separation for Robust ASR With Mixture Models by Demir, C., Saraclar, M., Cemgil, A. T.

“…In this study, we describe a mixture model based single-channel speech-music separation method. Given a catalog of background music material, we propose a…”
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Non-negative tensor factorization models for Bayesian audio processing by Şimşekli, Umut, Virtanen, Tuomas, Cemgil, Ali Taylan

“…We provide an overview of matrix and tensor factorization methods from a Bayesian perspective, giving emphasis on both the inference methods and modeling…”
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Inferring Metrical Structure in Music Using Particle Filters by Krebs, Florian, Holzapfel, Andre, Cemgil, Ali Taylan, Widmer, Gerhard

“…In this paper, we propose a new state-of-the-art particle filter (PF) system to infer the metrical structure of musical audio signals. The new inference method…”
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Multiresolution alignment for multiple unsynchronized audio sequences using Sequential Monte Carlo samplers by Basaran, Dogac, Cemgil, Ali Taylan, Anarim, Emin

“…With proliferation of smart devices such as smart phones, it is common that an event is recorded by multiple individuals creating several audio and video…”
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A generalized Bayesian model for tracking long metrical cycles in acoustic music signals by Srinivasamurthy, Ajay, Holzapfel, Andre, Taylan Cemgil, Ali, Serra, Xavier

“…Most musical phenomena involve repetitive structures that enable listeners to track meter, i.e. the tactus or beat, the longer over-arching measure or bar, and…”
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A real-time SIP network simulation and monitoring system by Yıldız, Çağatay, Kurt, Barış, Ceritli, Taha Yusuf, Sankur, Bülent, Cemgil, Ali Taylan

“…In this work we present a real time SIP network simulation and monitoring system. The SIP network simulator is based on a probabilistic generative model that…”
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Section-level modeling of musical audio for linking performances to scores in Turkish makam music by Holzapfel, Andre, Simsekli, Umut, Senturk, Sertan, Taylan Cemgil, Ali

“…Section linking aims at relating structural units in the notation of a piece of music to their occurrences in a performance of the piece. In this paper, we…”
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Audio Source Separation Using Variational Autoencoders and Weak Class Supervision by Karamatli, Ertug, Cemgil, Ali Taylan, Kirbiz, Serap

“…In this letter, we propose a source separation method that is trained by observing the mixtures and the class labels of the sources present in the mixture…”
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An intelligent cyber security system against DDoS attacks in SIP networks by Semerci, Murat, Cemgil, Ali Taylan, Sankur, Bülent

“…Distributed Denial of Services (DDoS) attacks are among the most encountered cyber criminal activities in communication networks that can result in…”
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Source separation and classification using generative adversarial networks and weak class supervision by Karamatlı, Ertuğ, Cemgil, Ali Taylan, Kırbız, Serap

“…In this paper, we propose a decomposition-based weakly-supervised model that utilizes the class labels of the sources present in mixtures. We apply this weak…”
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Weak Label Supervision for Monaural Source Separation Using Non-negative Denoising Variational Autoencoders by Karamatli, Ertug, Cemgil, Ali Taylan, Kirbiz, Serap

“…Deep learning models are very effective in source separation when there are large amounts of labeled data available. However it is not always possible to have…”
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Multi-Object Tracking of Sinusoidal Components in Audio with the Gaussian Mixture Probability Hypothesis Density Filter by Clark, Daniel, Cemgil, Ali-Taylan, Peeling, Paul, Godsill, Simon

“…We address the problem of identifying individual sinusoidal tracks from audio signals using multi-object stochastic filtering techniques. Attractive properties…”
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Discriminative tensor decomposition with large margin by Semerci, Murat, Cemgil, Ali Taylan, Sankur, Bulent

“…Tensor decompositions have many application areas in several domains where one key application is revealing relational structure between multiple dimensions…”
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Multiresolution alignment for multiple unsynchronized audio sequences using sequential Monte Carlo samplers by Basaran, Dogac, Cemgil, Ali Taylan, Anarim, Emin

“…It is increasingly more common that an occasion is recorded by multiple individuals with the proliferation of recording devices such as smart phones. When…”
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Alpha-Stable Matrix Factorization by Simsekli, Umut, Liutkus, Antoine, Cemgil, Ali Taylan

“…Matrix factorization (MF) models have been widely used in data analysis. Even though they have been shown to be useful in many applications, classical MF…”
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Clustering Event Streams With Low Rank Hawkes Processes by Turkmen, Ali Caner, Capan, Gokhan, Cemgil, Ali Taylan

“…We introduce a fast algorithm for parameter estimation in multidimensional Hawkes processes, a widely used class of temporal point processes for mutually…”
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