Stem stationari$ (all stems)

33 papers:

ICML-2015-LesnerS #approximate #policy

Non-Stationary Approximate Modified Policy Iteration (BL, BS), pp. 1567–1575.

ICML-c2-2014-SnoekSZA #optimisation

Input Warping for Bayesian Optimization of Non-Stationary Functions (JS, KS, RSZ, RPA), pp. 1674–1682.

ICPR-2014-Martinez-VargasHAAC #component #constraints #probability #recursion

Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints (JDMV, CCH, AMÁM, CDAM, GCD), pp. 3469–3474.

CASE-2013-SunLJY #energy #nondeterminism #optimisation

Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings (BS, PBL, QSJ, BY), pp. 436–441.

CASE-2013-ZhouKZS #analysis

Causal analysis for non-stationary time series in sensor-rich smart buildings (YZ, ZK, LZ, CJS), pp. 593–598.

ICDAR-2013-HoRRES #approach #classification #documentation

Document Classification in a Non-stationary Environment: A One-Class SVM Approach (AKNH, NR, JYR, VE, NS), pp. 616–620.

ICML-c3-2013-BaktashmotlaghHBLS #analysis #classification #video

Non-Linear Stationary Subspace Analysis with Application to Video Classification (MB, MTH, AB, BCL, MS), pp. 450–458.

SAC-2013-GholipourHB #adaptation #data type

An adaptive regression tree for non-stationary data streams (AG, MJH, HB), pp. 815–817.

CIKM-2012-JiaZH #network #simulation

Non-stationary bayesian networks based on perfect simulation (YJ, WZ, JH), pp. 1095–1104.

ICPR-2012-FengLSPZG #monitoring #robust #statistics

Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring (MF, LYL, KS, CP, FZ, CG), pp. 557–560.

KDD-2012-HoensC #learning

Learning in non-stationary environments with class imbalance (TRH, NVC), pp. 168–176.

DAC-2011-DyerMK #hybrid #modelling #process

Hybrid modeling of non-stationary process variations (ELD, MM, FK), pp. 194–199.

DATE-2011-AadithyaDVR #modelling #named #random #simulation

SAMURAI: An accurate method for modelling and simulating non-stationary Random Telegraph Noise in SRAMs (KVA, AD, SV, JSR), pp. 1113–1118.

OOPSLA-2011-LiSD #analysis #concurrent #detection #named

SOS: saving time in dynamic race detection with stationary analysis (DL, WSa, MBD), pp. 35–50.

ICPR-2010-DitzlerPC #algorithm #incremental #learning

An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance (GD, RP, NVC), pp. 2997–3000.

ICPR-2010-SunHL #data-driven #detection

Data-Driven Foreground Object Detection from a Non-stationary Camera (SWS, FH, HYML), pp. 3053–3056.

ICML-2009-YuM #problem

Piecewise-stationary bandit problems with side observations (JYY, SM), pp. 1177–1184.

ICPR-2008-KarnickMP #approach #classification #concept #incremental #learning #multi #using

Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach (MTK, MM, RP), pp. 1–4.

ICPR-2008-LuJZ #detection #effectiveness #segmentation

An effective method for detection and segmentation of the body of human in the view of a single stationary camera (HL, CJ, RZ), pp. 1–4.

POPL-2008-UnkelL #automation #java

Automatic inference of stationary fields: a generalization of java’s final fields (CU, MSL), pp. 183–195.

ICML-2007-SuttonKS #on the

On the role of tracking in stationary environments (RSS, AK, DS), pp. 871–878.

ICML-2006-SilvaBBE #detection #using

Dealing with non-stationary environments using context detection (BCdS, EWB, ALCB, PME), pp. 217–224.

ICPR-v1-2006-TavakkoliNB #detection #learning #recursion #robust

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds (AT, MN, GB), pp. 315–318.

ICPR-v3-2006-ZhengS

Removing Temporal Stationary Blur in Route Panoramas (JYZ, MS), pp. 709–713.

ICPR-v4-2004-ChantasGL #image

Non Stationary Bayesian Image Restoration (GKC, NPG, AL), pp. 689–692.

ICPR-v4-2004-Moreno-NoguerS #integration #multi #segmentation

Integration of Shape and a Multihypotheses Fisher Color Model for Figure-Ground Segmentation in Non-Stationary Environments (FMN, AS), pp. 771–774.

ICML-2003-ConitzerS #algorithm #learning #multi #named #self

AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents (VC, TS), pp. 83–90.

KDD-2002-YamanishiT #detection #framework

A unifying framework for detecting outliers and change points from non-stationary time series data (KY, JiT), pp. 676–681.

ICML-2000-CoelhoG #approach #learning

Learning in Non-stationary Conditions: A Control Theoretic Approach (JACJ, RAG), pp. 151–158.

ICPR-v1-2000-HeikkilaSS #estimation #segmentation #using

Camera Motion Estimation from Non-Stationary Scenes Using EM-Based Motion Segmentation (JH, PS, OS), pp. 1370–1374.

DATE-1999-ChungBBM #power management

Dynamic Power Management for non-stationary service requests (EYC, LB, AB, GDM), pp. 77–81.

HCI-EI-1999-JohnsonC #mobile #roadmap #usability

Mobile and Stationary Usability Labs: Technical Issues, Trends and Perspectives (RJ, EC), pp. 1123–1127.

NACLP-1990-Przymusinski #database #deduction #logic programming #semantics #source code

Stationary Semantics for Disjunctive Logic Programs and Deductive Databases (TCP), pp. 40–59.