• No results found

Content-Based Image Retrieval using Deep Learning

N/A
N/A
Protected

Academic year: 2019

Share "Content-Based Image Retrieval using Deep Learning"

Copied!
44
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 3.1: Annotated Image Description.
Figure 3.2: Query Image.
Figure 3.3: Segmented Query Image.
Figure 3.4: Region Classification.
+7

References

Related documents

(1998) method in our analysis of the decomposition of labour productivity growth in the Irish manufacturing sector over the period 1991-1999, since it is the most

The authors are with the Department of Civil Engineering and Environment, Gadjah Mada University, Indonesia (e-mail: oka7166@yahoo.com). understanding of their behavior for a

The areas of responsibility of the Coordination Committee for Hospitals and University comprise collaboration on research, talent development, education and knowledge

IG: Information Gain; IMDb: Internet movie database; MDSD: multi domain sentiment dataset; ML: machine learning; SMO: Sequential Minimal Optimization; MNB: multi-nominal Naïve

Hier konnte in durch gezielte Mutationen gezeigt werden, dass DdLIS1 eine Rolle bei der Entwicklung spielt, auch wenn es selbst nicht entwicklungsreguliert ist.. Eine

Fasting plasma citrul- line concentrations were obtained on family members and four out of five were elevated above the normal range for this amino acid. A review of the patients

Objective To determine whether ascertainment of childhood obesity by surveillance followed by structured secondary prevention in primary care improved outcomes in overweight or

we use and analyze the MQTT protocol and take four scenarios and evaluate the proposed design by using OMNET++ simulation environment and its INET frame work, from the