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Unified Framework for Hand Orientation Regression

A unified framework of constrained regression

A unified framework of constrained regression

... a unified framework to incorporate these con- straints for both univariate and bivariate effect esti- mates and for varying ...the framework is based on (functional gradient descent) boosting meth- ...

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Staged Probabilistic Regression for Hand Orientation Inference

Staged Probabilistic Regression for Hand Orientation Inference

... global hand orientation from 2D monocular images is a challeng- ing task, as the projected hand shape is affected by a number of ...inter-person hand shape and size variations, intra-person ...

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Learning Marginalization through Regression for Hand Orientation Inference

Learning Marginalization through Regression for Hand Orientation Inference

... the hand orientation inference problem and to better couple the multiple layers in a ML-RF regressor, we propose a method for learning the marginalization of a ML-RF ...of hand silhouette images onto ...

10

Hand Orientation Regression Using Random Forest for Augmented Reality

Hand Orientation Regression Using Random Forest for Augmented Reality

... of hand orientation variations used to record the dataset holds significance in depicting the contribution of the proposed ...open hand pose throughout the data capture ...the hand back and ...

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Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework

... force regression at the fingertips, while also performing finger movement classification as a by-product of the modeling ...force regression. Additionally, inherent to the Bayesian framework is the ...

17

Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

Predicting binary, discrete and continued lncRNA-disease associations via a unified framework based on graph regression

... Existing computational approaches only focus on pre- dicting associations between lncRNAs with known dis- ease association and diseases with known association with some lncRNAs. An open question is whether we can predict ...

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A framework for unified Dirac gauginos

A framework for unified Dirac gauginos

... On the other hand, the scalar octet couples to squarks via its D-term coupling, and so couples to gluons. Since it couples to all coloured squarks, this can potentially be large. However, to be very conservative, ...

11

Continuous Regression Test Framework

Continuous Regression Test Framework

... continuous regression test framework to perform optimal testing of various combinations of hardware and ...upper hand on serial execution which takes considerably more time for ...Jenkins ...

8

A Unified Security Framework for Networked Applications

A Unified Security Framework for Networked Applications

... ASCap framework, security policies are defined by policy objects, which may examine both the parameters and the credentials provided by the ASCap as well as external server variables, ...to hand the ASCap ...

7

A UNIFIED FRAMEWORK FOR MULTI-LEVEL MODELING

A UNIFIED FRAMEWORK FOR MULTI-LEVEL MODELING

... 2.5 Potency-Based Deep Instantiation Type (class) view Instance (object) view Figure 2.3: Cube Visualization of the two facades, taken from (6) The key things that distinguish clabjects from traditional model elements ...

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DATA MINING WITHIN A REGRESSION FRAMEWORK

DATA MINING WITHIN A REGRESSION FRAMEWORK

... standard regression models or CART itself (Breiman, ...or regression trees is built ...on hand, and at each potential split, a random sample of predictors is ...

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The Unified Behavior Framework for the Simulation of Autonomous Agents

The Unified Behavior Framework for the Simulation of Autonomous Agents

... other hand, the design elements of UBF lend it to future experimentation within the simulation ...UBF framework in place, the opportunity to simulate pilot agents that exhibit unpredictable behavior is now ...

169

A Unified Call-to-Prayer Framework in Muslim World

A Unified Call-to-Prayer Framework in Muslim World

... Therefore a heuristic algorithm is proposed, in this paper, to provide a fast suboptimal solution to the problem at hand. The algorithm is based on a local decision that is taken in each node based on the state of ...

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A Unified Framework for Two guard Walk Problem

A Unified Framework for Two guard Walk Problem

... We may need to repeat the above process, extending the path around the tip sides of some EBs. But eventu- ally, the path should be at the NB’s tip side (from (1)). After that, we extend the path eastward, until the path ...

14

Hand gesture recognition using gradient orientation

Hand gesture recognition using gradient orientation

... Histogram orientation has the advantage of being robust in lighting change ...gestures. Orientation analysis should give robustness in illumination changes while histogramming will offer translational ...

5

A Unified Framework for Opinion Dynamics

A Unified Framework for Opinion Dynamics

... Urbig et al. [23] ✓ ✓ ✓ ✓ ✓ Table 1: The independent modules in our framework can be combined to generate opinion dynamics models. Here we present a selection of papers and their constituent modules. random, ...

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A unified framework of demographic time

A unified framework of demographic time

... Several lines of substantive research may be augmented by or based on the findings we present. For example, it is of public health interest to document the full range of late- life morbidity patterns over various time ...

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A Framework for Deploying Unified Communications

A Framework for Deploying Unified Communications

... Several key best practices have emerged that are crucial to this planning stage: 1. End user profiling and segmentation. As not all employees in an enterprise have equivalent communications and collaboration ...

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The "spurious regression problem" in the classical regression model framework

The "spurious regression problem" in the classical regression model framework

... correlation in the error process, but no “spurious regression” (e.g., first columns in Table I and Table II, ρ = 0.6 or ρ = 0.8) the OLS on levels delivers t-test with actual rejection rate of the true null ...

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Efficient hand orientation and pose estimation for uncalibrated cameras

Efficient hand orientation and pose estimation for uncalibrated cameras

... GT orientation angles for both SL-RF SV and NN ...in orientation and, consequently, the visible shape of the hand, which forms a benchmark for evaluating the generalization capabilities of the ...

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