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TITB
2016
63views Education» more  TITB 2016»
4 years 2 months ago
Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings
—Electroencephalography (EEG) is the recording of electrical activity produced by the firing of neurons within the brain. These activities can be decoded by signal processing tec...
Yuan Zou, Viswam Nathan, Roozbeh Jafari
TITB
2016
52views Education» more  TITB 2016»
4 years 2 months ago
Automating Vector Autoregression on Electronic Patient Diary Data
—Finding the best vector autoregression model for any data set, medical or otherwise, is a process that, to this day, is frequently performed manually in an iterative manner requ...
Ando Celino Emerencia, Lian van der Krieke, Elisab...
TITB
2016
67views Education» more  TITB 2016»
4 years 2 months ago
A Virtual Reality System for PTCD Simulation Using Direct Visuo-Haptic Rendering of Partially Segmented Image Data
—This work presents a new visuo-haptic virtual reality (VR) training and planning system for percutaneous transhepatic cholangio-drainage (PTCD) based on partially segmented virt...
Dirk Fortmeier, André Mastmeyer, Julian Sch...
TITB
2016
53views Education» more  TITB 2016»
4 years 2 months ago
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression
Abstract—Predicting the functional outcomes of spinal cord disorder patients after medical treatments, such as a surgical operation, has always been of great interest. Accurate p...
Sunghoon Ivan Lee, Bobak Mortazavi, Haydn A. Hoffm...
TITB
2016
51views Education» more  TITB 2016»
4 years 2 months ago
Accuracy Improvement on the Measurement of Human-Joint Angles
—A measurement technique that decreases the root mean square error (RMSE) of measurements of human joint angles using a personal wireless sensor network (WSN) is reported. Its op...
Dai Meng, Todd Shoepe, Gustavo Vejarano
TITB
2016
50views Education» more  TITB 2016»
4 years 2 months ago
Component-Level Tuning of Kinematic Features From Composite Therapist Impressions of Movement Quality
—In this paper, we propose a general framework for tuning component-level kinematic features using therapists’ overall impressions of movement quality, in the context of a Home...
Vinay Venkataraman, Pavan K. Turaga, Michael Baran...
TIT
2016
29views Education» more  TIT 2016»
4 years 2 months ago
Random Forests and Kernel Methods
—Random forests are ensemble methods which grow trees as base learners and combine their predictions by averaging. Random forests are known for their good practical performance, ...
Erwan Scornet
TIT
2016
48views Education» more  TIT 2016»
4 years 2 months ago
The Generalized Lasso With Non-Linear Observations
Abstract—We study the problem of signal estimation from nonlinear observations when the signal belongs to a low-dimensional set buried in a high-dimensional space. A rough heuris...
Yaniv Plan, Roman Vershynin
TIT
2016
39views Education» more  TIT 2016»
4 years 2 months ago
Secure Degrees of Freedom Regions of Multiple Access and Interference Channels: The Polytope Structure
—In this paper, we determine the entire secure degrees of freedom (s.d.o.f.) regions of the K-user Gaussian multiple access (MAC) wiretap channel and the K-user interference chan...
Jianwei Xie, Sennur Ulukus
TIT
2016
48views Education» more  TIT 2016»
4 years 2 months ago
Opportunistic Detection Rules: Finite and Asymptotic Analysis
—Opportunistic detection rules (ODRs) are variants of fixed-sample-size detection rules in which the statistician is allowed to make an early decision on the alternative hypothe...
Wenyi Zhang, George V. Moustakides, H. Vincent Poo...
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