• SIMPLIcity

  • Referenced in 87 articles [sw14893]
  • image is represented by a set of regions, roughly corresponding to objects, which are characterized ... color, texture, shape, and location. The system classifies images into semantic categories. Potentially, the categorization ... similarity between images is developed using a region-matching scheme that integrates properties...
  • pyDML

  • Referenced in 3 articles [sw35421]
  • some utilities for the visualization of classifier regions, parameter tuning and a stats website with...
  • YOLO

  • Referenced in 17 articles [sw28515]
  • Time Object Detection. Prior detection systems repurpose classifiers or localizers to perform detection. They apply ... multiple locations and scales. High scoring regions of the image are considered detections ... predicts bounding boxes and probabilities for each region. These bounding boxes are weighted ... probabilities. Our model has several advantages over classifier-based systems. It looks at the whole...
  • ilastik

  • Referenced in 9 articles [sw08747]
  • provides real-time feedback of the current classifier predictions and thus allows for targeted training ... user to ambiguous regions of the data. Once the classifier has been trained...
  • PanoContext

  • Referenced in 3 articles [sw32555]
  • context without any image region category classifier, we can achieve a comparable performance with...
  • LUCI

  • Referenced in 1 article [sw39930]
  • these objects -- which include classic HII regions, supernova remnants, planetary nebulae, and cluster filaments ... diagram, we can further classify emission regions based on strong emission-line flux ratios. LUCI...
  • FStitch

  • Referenced in 1 article [sw18729]
  • logistic regression to robustly classify which regions of the genome are transcribed. Our algorithm builds...
  • PhyloCSF

  • Referenced in 1 article [sw11719]
  • distinguish protein coding and non-coding regions. Motivation: As high-throughput transcriptome sequencing provides evidence ... need for accurate methods to classify small genomic regions as protein coding or non-coding...
  • Hydra

  • Referenced in 2 articles [sw36455]
  • based matching methods to classify whether or not a foreground region contains multiple people...
  • ScatterJn

  • Referenced in 1 article [sw27424]
  • offers the possibility to manually classify pixels by selecting regions of datapoints in the scatterplots...
  • CONTRAST

  • Referenced in 1 article [sw23029]
  • binary classifiers designed to recognize coding region boundaries is combined with a global model...
  • iROS-gPseKNC

  • Referenced in 8 articles [sw25363]
  • develop high throughput tools to identify these regions purely based on the sequence information alone ... nucleotide composition and using the random forest classifier, a new predictor called iROS-gPseKNC...
  • iDHS-EL

  • Referenced in 10 articles [sw22426]
  • investigation into the function of noncoding genomic regions. RESULTS: In this study, using the strategy ... fusing three individual Random Forest (RF) classifiers into an ensemble predictor. The three RF operators...
  • CLARK

  • Referenced in 2 articles [sw23452]
  • also classify BAC clones or transcripts to chromosome arms and centromeric regions. Conclusions: Clark...
  • iRSpot-Pse6NC

  • Referenced in 13 articles [sw27677]
  • recombination is relatively higher, while in other regions the frequency is lower: the former ... foundation and using SVM (Support Vector Machine) classifier, a new predictor called “iRSpot-Pse6NC...
  • pyCLAMs

  • Referenced in 1 article [sw41568]
  • integrated existing classifiability complexity metrics (e.g., Fisher discriminant ratio, overlapping region volume, distribution topology...
  • miTarget

  • Referenced in 4 articles [sw27473]
  • mechanism of miRNA binding. The SVM classifier produces high performance with a biologically relevant data ... region of a miRNA from a feature selection experiment. We also provide a web interface ... successful application of an SVM classifier. Compared with previous tools, its predictions are meaningful...
  • PyMVPA

  • Referenced in 6 articles [sw15259]
  • signal, have proven successful in identifying anatomical regions based on signal increases during cognitive ... field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that...
  • NAST

  • Referenced in 3 articles [sw13835]
  • data (sequence from vector or surrounding genomic regions) are conveniently removed in the returned alignment ... diversity estimates and organisms can be classified by taxonomy. The ability to align and categorize...
  • Brain-Graph-Tools

  • Referenced in 2 articles [sw17033]
  • visualization. For 96 subjects, the anatomically classified sub-graphs can also be accessed, formed from ... corresponding to distinct lobes or even smaller regions of interests of the brain. For example...