Search Results - technology+classifications+%3e+information+technology

4 Results

Sort By:

BP4D+ Multimodal Spontaneous Emotion Database

Well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants. Background: In the last 10 years, research on facial expression analysis has shifted its focus from posed behavior to non-posed (i.e., spontaneous) behavior. This shift has increased the difficulty of such analyses, but also their ecological validity...

Published: 1/5/2024 | Inventor(s): Lijun Yin

Keywords(s): #SUNYresearch, Technologies

Category(s): Technology Classifications > Information Technology, Campus > Binghamton University

Semi-supervised Learning Based on Semiparametric Regularization

Semiparametric regularization based approach allows a family of algorithms to be developed based on various choices of the original RKHS and the loss function Technology Overview: Labeled data are often expensive to obtain since they require the efforts of experienced experts. Meanwhile, the unlabeled data are relatively easy to collect. Semiparametric...

Published: 4/18/2024 | Inventor(s): Zhongfei Zhang, Guo Zhen

Keywords(s): #SUNYresearch, Technologies

Category(s): Technology Classifications > Computers, Technology Classifications > Information Technology, Campus > Binghamton University

Using Pattern Noise of Imaging Sensors for Imaging Hardware Identification

Identification method to identify the physical camera used to create an image or video Background: A practical and important problem in digital forensics is to identify reliably the imaging device that acquired a particular electronic image or representation thereof. Prior approaches to identifying the device that acquired a particular image have...

Published: 10/8/2021 | Inventor(s): Jessica Fridrich, Miroslav Goljan, Jan Lukas

Keywords(s): #SUNYresearch, Technologies

Category(s): Technology Classifications > Information Technology, Technology Classifications > Computers, Campus > Binghamton University

Pattern Change Discovery Between High Dimensional Datasets

Pattern Change Discovery Between High Dimensional Datasets Background: This technology provides a powerful solution to the general problem of pattern change discovery between high-dimensional data sets. Current technologies either mainly focus on magnitude change detection of low-dimensional data sets or are under supervised frameworks. ...

Published: 4/18/2024 | Inventor(s): Yi Xu, Zhongfei Zhang

Keywords(s): #SUNYresearch, Technologies

Category(s): Technology Classifications > Computers, Technology Classifications > Information Technology, Campus > Binghamton University