Lothar Rudi Schad
Computer Vision and Pattern Recognition · 1992–2018
A researcher in the Science corpus: 9 papers; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it
- Artificial Intelligence — 24 citations into it; #20,203 of 35,345 by trust here, #23,731 by citations
- Evaluation & Benchmarks — 7 citations into it
Whom Lothar Rudi Schad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lothar Rudi Schad overall
- Jakob Nikolas Kather
- Frank G. Zöllner
- Cleo-Aron Weis
- Kyrre Eeg Emblem
- Francesco Bianconi
- Nikolaus Weiskopf
- Susanne Melchers
Papers from Lothar Rudi Schad's perspective
Ordered by how strongly the researchers Lothar Rudi Schad trusts endorse each paper. Same corpus, a different order for every researcher.
- A training algorithm for optimal margin classifiers
- LIBSVM: A library for support vector machines
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- New Support Vector Algorithms
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
- SUN database: Large-scale scene recognition from abbey to zoo
- Textons, the elements of texture perception, and their interactions
- The FERET database and evaluation procedure for face-recognition algorithms
- Textural Features Corresponding to Visual Perception
Their papers
- Time efficient whole-brain coverage with MR Fingerprinting using slice-interleaved echo-planar-imaging (2018) — 35 citations
- Multi-class texture analysis in colorectal cancer histology (2016) — 584 citations
- New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images (2015) — 19 citations
- Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images (2015) — 66 citations
- SVM-based glioma grading: Optimization by feature reduction analysis. (2012) — 69 citations
- Support vector machines in DSC‐based glioma imaging: Suggestions for optimal characterization (2010) — 37 citations
- Prospective acquisition correction for head motion with image‐based tracking for real‐time fMRI (2000) — 612 citations
- The use of reticulated foam in texture test objects for magnetic resonance imaging. (1998)
- Magnetic Resonance Imaging of Intracranial Tumors: Tissue Characterization by Means of Texture Analysis (1992)