About
Temporal Segmentation: Perspectives from statistics, machine learning, and signal processing
Data with temporal (or sequential) structure arise in several applications, such as speaker diarization, human action segmentation, network intrusion detection, DNA copy number analysis, and neuron activity modelling, to name a few. A particularly recurrent temporal structure in real applications is the so-called change-point model, where the data may be temporally partitioned into a sequence of segments delimited by change-points, such that a single model holds within each segment whereas different models hold accross segments. Change-point problems may be tackled from two points of view, corresponding to the practical problem at hand: retrospective (or "a posteriori"), aka multiple change-point estimation, where the whole signal is taken at once and the goal is to estimate the change-point locations, and online (or sequential), aka quickest detection, where data are observed sequentially and the goal is to quickly detect change-points. The purpose of this workshop is to bring together experts from the statistics, machine learning, signal processing communities, to address a broad range of applications from robotics to neuroscience, to discuss and cross-fertilize ideas, and to define the current challenges in temporal segmentation.
The Workshop homepage can be found at http://www.harchaoui.eu/zaid/workshops/nips09/index.html
Videos

25:44
Product Partition Models for Modelling Changing Dependency Structure in Time Ser...
Jan 19, 2010
·
4561 views

41:40
Quickest Change Detection
Jan 19, 2010
·
4877 views

39:53
Mode Estimation of Autonomous Systems
Jan 19, 2010
·
2974 views

39:40
Retrospective Change-point Approaches and Sequential Modelling
Jan 19, 2010
·
3515 views

17:53
SE NE OBJAVI Segmentation of Human Activities in Video
Jan 19, 2010
·
576 views

38:17
Temporal Segmentation with Kernel Change-point Detection
Jan 19, 2010
·
4817 views

19:58
Adaptive Sequential Bayesian Change-point Detection
Jan 19, 2010
·
6529 views

34:19
Hierarchical-Dirichlet-Process-based Hidden Markov Models
Jan 19, 2010
·
6632 views

12:14
Distributed Detection and Localization of Network Anomalies using Rank Tests
Jan 19, 2010
·
3466 views

20:12
A Dynamic HMM for Online Segmentation
Jan 19, 2010
·
5053 views