Multi-Instance Multi-Label learning (MIML) deals with data objects that are represented by a bag of instances and associated with a set of class labels simultaneously. Previous studies typically assume that for every training example, all positive labels are tagged whereas the untagged labels are all negative. In many real applications such as image annotation, however, the learning problem oft...

The management of vegetated areas by urban planners relies on detailed and updated knowledge of their nature and distribution. Manual photo-interpretation of aerial photographs is efficient, but is time consuming. Image segmentation and object-oriented classifications provide a tool to automatically delineate and label vegetation units. Object-oriented techniques were tested with a very high-re...

To make informed private label (PL) strategy decisions, retailers must understand the factors influencing consumer’s brand choices. Previous PL studies have investigated grocery products, and ignored unique features of different types of own brands. We investigate attitudes towards buying a retailer-endorsed brand, or store brand (SB), in apparel retailing. Customers of a Finnish department sto...

The paper examines preferences for product quality regulations. Our premise is that preferences for product quality regulations derive from preferences for both private and public goods. The model is used to explain public attitudes toward a referendum measure to eliminate pesticide residues on food. Results from a survey of consumers are consistent with the conceptual model and show that prefe...