Introduction Page 8 Rita Schlusemann, Helwi Blom, Anna Katharina Richter, and Krystyna
Wierzbicka-Trwoga Introduction Wil man och säija sin Meening och Skääl med fåå Ordh/ som …

This paper presents a novel approach to visual objects classification based on generating
simple fuzzy classifiers using local image features to distinguish between one known class …

Pairwise point cloud registration (PCR) is a crucial problem in photogrammetry, which aims
to find a rigid transformation that registers a pair of point clouds. Typically, PCR is performed …

Learning-based approaches to graph matching have been developed and explored for
more than a decade, have grown rapidly in scope and popularity in recent years. However …

Image annotation has attracted a lot of research interest, and multi-label learning is an
effective technique for image annotation. How to effectively exploit the underlying correlation …

Multilabel image annotation attracts a lot of research interest due to its practicability in
multimedia and computer vision fields, while the need for a large amount of labeled training …

With the amount and variety of information available on digital repositories, answering
complex user needs and personalizing information access became a hard task. Putting the …

Graph matching aims at establishing correspondences between graph elements, and is
widely used in many computer vision tasks. Among recently proposed graph matching …

Relevance feedback (RF) is an effective approach to bridge the gap between low-level
visual features and high-level semantic meanings in content-based image retrieval (CBIR) …

Deriving from image matching and understanding, semantic keypoint matching aims at
establishing correspondence between keypoint sets in images. As graphs are powerful tools …