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Found 5 papers, 0 papers with code
A Unified Framework for Gradient-based Clustering of Distributed Data
The proposed family, termed Distributed Gradient Clustering (DGC-$\mathcal{F}_\rho$), is parametrized by $\rho \geq 1$, controling the proximity of users' center estimates, with $\mathcal{F}$ determining the clustering loss.
Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation
The method applies to an arbitrary clustering of the face.
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model
We propose a method to fit arbitrarily accurate blendshape rig models by solving the inverse rig problem in realistic human face animation.
Clustering of the Blendshape Facial Model
We present a novel approach for learning the inverse rig parameters at increased accuracy and decreased computational cost at the same time.
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method
In contrast to previous methods proposed in the literature, the HUNOD method combines two outlier detection approaches based on two different machine learning designs (i. e, clustering and representational learning) to detect and internally validate outliers in a given tax dataset.
